Dr. Jinde Cao
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Dr. Jinde Cao

Professor
Department of Mathematics, Southeast University, China

Highest Degree
Ph.D. in Mathematics from Sichuan University, Chengdu, China

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Biography

Dr. Jinde Cao received the B.S. degree from Anhui Normal University, Wuhu, China, the M.S. degree from Yunnan University, Kunming, China, and the Ph.D. degree from Sichuan University, Chengdu, China, all in Mathematics/Applied Mathematics, in 1986, 1989, and 1998, respectively. From March 1989 to May 2000, he was with the Yunnan University. In May 2000, he joined the Department of Mathematics, Southeast University, Nanjing, China. From July 2001 to June 2002, he was a Postdoctoral Research Fellow at the Department of Automation and Computer-Aided Engineering, Chinese University of Hong Kong, Hong Kong. In the period from 2006 to 2008, he was a Visiting Research Fellow and a Visiting Professor at the School of Information Systems, Computing and Mathematics, Brunel University, UK. Currently, he is a Distinguished Professor and Doctoral Advisor at the Southeast University and also is a Distinguished Adjunct Professor at the King Abdulaziz University, Saudi Arabia, prior to which he was a Professor at Yunnan University from 1996 to 2000. He is the author or coauthor of more than 150 journal papers and five edited books. His research interests include Nonlinear Systems, Neural Networks, Complex Systems and Complex Networks, Stability Theory, and Applied Mathematics. Dr. Cao was an Associate Editor of the IEEE Transactions on Neural Networks, Journal of the Franklin Institute and Neurocomputing. He is an Associate Editor of the IEEE Transactions on Cybernetics, Abstract and Applied Analysis, Differential Equations and Dynamical Systems, Discrete Dynamics in Nature and Society, International Journal of Differential Equations, Journal of Applied Mathematics, Mathematics and Computers in Simulation, and Neural Networks. Dr. Cao is a Senior Member of IEEE and a Reviewer of Mathematical Reviews and Zentralblatt MATH.

Area of Interest:

Mathematics
100%
Nonlinear Systems
62%
Neural Networks
90%
Complex Systems
75%
Stability Theory
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
1500
Abstracts
0

Selected Publications

  1. Zunshui, C. and J. Caob, 2015. Cascade of failures in interdependent networks coupled by different type networks. Physica A, 430: 193-200.
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  2. Yang, X., J. Cao and J. Qiu, 2015. pth moment exponential stochastic synchronization of coupled memristor-based neural networks with mixed delays via delayed impulsive control. Neural Networks, 65: 80-91.
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  3. Yang, X., J. Cao and D.W.C. Ho, 2015. Exponential synchronization of discontinuous neural networks with time-varying mixed delays via state feedback and impulsive control. Cogni. Neurodynamics, 9: 113-128.
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  4. Xu, W., J. Cao and M. Xiao, 2015. Bifurcation analysis of a class of (n + 1)-dimension internet congestion control systems. Int. J. Bifurcation Chaos, Vol. 25, No. 2. 10.1142/S0218127415500194.
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  5. Wan, Y. and J. Cao, 2015. Periodicity and synchronization of coupled memristive neural networks with supremums. Neurocomputing, 159: 137-143.
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  6. Ramzan, M., M. Farooq, T. Hayat, A. Alsaedi and J. Cao, 2015. MHD stagnation point flow by a permeable stretching cylinder with Soret-Dufour effects. J. Central South Univ., 22: 707-716.
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  7. Rakkiyappan, R., G. Velrnurugan and C. Jinde, 2015. Multiple mu-stability analysis of complex-valued neural networks with unbounded time-varying delays. Neurocomputing, 149: 594-607.
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  8. Rakkiyappan, R., G. Velmurugan and C. Jinde, 2015. Stability analysis of memristor-based fractional-order neural networks with different memductance functions. Cogni. Neurodyn., 9: 145-177.
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  9. Rakkiyappan, R., C. Jinde and G. Velmurugan, 2015. Existence and uniform stability analysis of fractional-order complex-valued neural networks with time delays. IEEE Trans. Neural Networks Learn. Syst., 26: 84-97.
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  10. Quanxin, Z., C. Jinde and R. Rakkiyappan, 2015. Exponential input-to-state stability of stochastic Cohen-Grossberg neural networks with mixed delays. Nonlinear Dynamics Volume, 79: 1085-1098.
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  11. Liu, X., W. Yu, J. Cao and F. Alsaadi, 2015. Finite-time synchronisation control of complex networks via non-smooth analysis. IET Control Theory Applied, 9: 1245-1253.
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  12. Li, N. and J. Cao, 2015. New synchronization criteria for memristor-based networks: Adaptive control and feedback control schemes. Neural Networks, 61: 1-9.
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  13. Hu, M., J. Cao, A. Hu, Y. Yang and Y. Jin, 2015. A novel finite-time stability criterion for linear discrete-time stochastic system with applications to consensus of multi-agent system. Circ. Syst. Signal Process., 34: 41-59.
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  14. Hu, J., C. Jinde, A. Abdulaziz, A. Al-Mazrooei and A. Elaiw, 2015. Pinning synchronization of coupled inertial delayed neural networks. Cogni. Neurodynamics, 9: 341-350.
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  15. Guizhen, F. and C. Jinde, 2015. Stability analysis of impulsive switched singular systems. IET Control Theory Applic., 9: 863-870.
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  16. Guizhen, F. and C. Jinde, 2015. Single controller for stability of delayed neural networks with mixed coupling and L2-gain condition. Neurocomputing, 149: 924-929.
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  17. Fengli, R., C. Feng and C. Jinde, 2015. Mittag-leffler stability and generalized Mittag-Leffler stability of fractional-order gene regulatory networks. Neurocomputing, 160: 185-190.
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  18. Fang, Q., C. Jinde and H. Tasawar, 2015. Delay-dependent stability of neutral system with mixed time-varying delays and nonlinear perturbations using delay-dividing approach. Cogni. Neurodynamics, 9: 75-83.
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  19. Dharani, S., R. Rakkiyappan and J. Cao, 2015. New delay-dependent stability criteria for switched Hopfield neural networks of neutral type with additive time-varying delay components. Neurocomputing, 151: 827-834.
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  20. Cheng, Q. and J. Cao, 2015. Synchronization of complex dynamical networks with discrete time delays on time scales. Neurocomputing, 151: 729-736.
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  21. Bao, H.B. and J.D. Cao, 2015. Projective synchronization of fractional-order memristor-based neural networks. Neural Networks, 63: 1-9.
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  22. Zhu, Q. and J. Cao, 2014. Mean-square exponential input-to-state stability of stochastic delayed neural networks. Neurocomputing, 131: 157-163.
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  23. Zhong, J., J. Lu, Y. Liu and J. Cao, 2014. Synchronization in an array of output-coupled Boolean networks with time delay. IEEE Trans. Neural Networks Learn. Syst., 25: 2288-2294.
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  24. Zhong, J., J. Lu, T. Huang and J. Cao, 2014. Synchronization of master�slave Boolean networks with impulsive effects: Necessary and sufficient criteria. Neurocomputing, 143: 269-274.
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  25. Zheng, C. and J. Cao, 2014. Robust synchronization of coupled neural networks with mixed delays and uncertain parameters by intermittent pinning control. Neurocomputing, 141: 153-159.
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  26. Zhang, Z., J. Cao and D. Zhou, 2014. Novel LMI-based condition on global asymptotic stability for a class of Cohen-Grossberg BAM networks with extended activation functions. IEEE Trans. Neural Networks Learning Syst., 25: 1161-1172.
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  27. Zhang, J., Z. Ma and J. Cao, 2014. Hub-induced synchronization in scale-free networks with cluster structure. Abstract Applied Anal., Vol. 2014. 10.1155/2014/149453.
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  28. Zhang, H., D. Wu, J. Cao and H. Zhang, 2014. Stability analysis for fractional-order linear singular delay differential systems. Discrete Dynamics Nat. Soc., Vol. 2014. 10.1155/2014/850279.
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  29. Zhang, H., D. Wu and J. Cao, 2014. Asymptotic stability of caputo type fractional neutral dynamical systems with multiple discrete delays. Abstract Applied Anal. 10.1155/2014/138124.
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  30. Yu, G., M. Ye, G. Cai and J. Cao, 2014. Signless laplacian spectral conditions for hamiltonicity of graphs. J. Applied Math., Vol. 2014. 10.1155/2014/282053.
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  31. Yu, G., G. Cai, M. Ye and J. Cao, 2014. Energy conditions for hamiltonicity of graphs. Discrete Dynamics Nat. Soc., Vol. 2014. 10.1155/2014/305164.
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  32. Yang, Y., J. Cao, X. Xu, M. Hu and G. Gao, 2014. A new neural network for solving quadratic programming problems with equality and inequality constraints. Math. Comput. Simul., 101: 103-112.
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  33. Yang, X., J. Cao and W. Yu, 2014. Exponential synchronization of memristive Cohen-Grossberg neural networks with mixed delays. Cognitive Neurodynamics, 8: 239-249.
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  34. Yang, X. and J. Cao, 2014. Hybrid adaptive and impulsive synchronization of uncertain complex networks with delays and general uncertain perturbations. Applied Math. Comput., 227: 480-493.
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  35. Xu, W., J. Cao, W. Yu and J. Lu, 2014. Leader-following consensus of non-linear multi-agent systems with jointly connected topology. IET Control Theory Applic., 8: 432-440.
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  36. Xu, W., J. Cao and M. Xiao, 2014. Bifurcation analysis and control in exponential RED algorithm. Neurocomputing, 129: 232-245.
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  37. Xu, A., Y. Du, R. Wang and J. Cao, 2014. Interaction between different cells in olfactory bulb and synchronous kinematic analysis. Discrete Dynamics Nat. Soc., Vol. 2014. 10.1155/2014/808792.
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  38. Xiao, M., W.X. Zheng and J. Cao, 2014. Stability and bifurcation of genetic regulatory networks with small RNAs and multiple delays. Int. J. Comput. Math., 91: 907-927.
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  39. Wang, Z., J. Cao, Z. Duan and X. Liu, 2014. Synchronization of coupled Duffing-type oscillator dynamical networks. Neurocomputing, 136: 162-169.
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  40. Wang, Y., J. Cao, G.Q. Sun and J. Li, 2014. Effect of time delay on pattern dynamics in a spatial epidemic model. Phys. A: Stat. Mech. Applic., 412: 137-148.
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  41. Wang, Y., J. Cao and J. Hu, 2014. Pinning consensus for multi-agent systems with non-linear dynamics and time-varying delay under directed switching topology. IET Control Theory Applic., 8: 1931-1939.
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  42. Wang, Y. and J. Cao, 2014. Global stability of a multiple infected compartments model for waterborne diseases. Commun. Nonlinear Sci. Numer. Simul., 19: 3753-3765.
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  43. Wang, Y. and J. Cao, 2014. Global dynamics of multi-group SEI animal disease models with indirect transmission. Chaos Solitons Fractals, 69: 81-89.
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  44. Wang, Y. and J. Cao, 2014. Global dynamics of a network epidemic model for waterborne diseases spread. Applied Math. Comput., 237: 474-488.
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  45. Wang, Y. and J. Cao, 2014. A note on global stability of the virose equilibrium for network-based computer viruses epidemics. Applied Mathe. Comput., 244: 726-740.
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  46. Song, Q., F. Liu, J. Cao and J. Lu, 2014. Some simple criteria for pinning a Lur�e network with directed topology. IET Control Theory Applic., 8: 131-138.
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  47. Song, C. and J. Cao, 2014. Dynamics in fractional-order neural networks. Neurocomputing, 142: 494-498.
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  48. Rakkiyappan, R., G. Velmurugan and J. Cao, 2014. Finite-time stability analysis of fractional-order complex-valued memristor-based neural networks with time delays. Nonlinear Dynamics, 78: 2823-2836.
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  49. Nie, X., J. Cao and S. Fei, 2014. Multistability and instability of competitive neural networks with Mexican-hat-type activation functions. Abstract Applied Anal., Vol. 2014. 10.1155/2014/901519.
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  50. Lu, J., J. Zhong, Y. Tang, T. Huang, J. Cao and J. Kurths, 2014. Synchronization in output-coupled temporal Boolean networks. Scient. Rep., Vol. 4. .
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  51. Liu, X., J.H. Park, N. Jiang and J. Cao, 2014. Nonsmooth finite-time stabilization of neural networks with discontinuous activations. Neural Networks, 52: 25-32.
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  52. Liu, X., D.W.C. Ho, W. Yu and J. Cao, 2014. A new switching design to finite-time stabilization of nonlinear systems with applications to neural networks. Neural Networks, 57: 94-102.
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  53. Liu, Q., Y. Lin, J. Cao and J. Cao, 2014. Chaos and hopf bifurcation analysis of the delayed local lengyel-epstein system. Discrete Dynam. Nat. Soc. 10.1155/2014/139375.
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  54. Liu, J.B., X.F. Pan, J. Cao and X. Huang, 2014. The Kirchhoff index of Toroidal meshes and variant networks. Math. Problems Eng., Vol. 2014. 10.1155/2014/286876.
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  55. Liu, J.B., X.F. Pan, J. Cao and F.F. Hu, 2014. A note on some physical and chemical indices of clique-inserted lattices. J. Statist. Mechan.: Theory Exp. 10.1088/1742-5468/2014/06/P06006.
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  56. Liu, J.B., X.F. Pan, J. Cao and F.F. Hu, 2014. A note on 'some physical and chemical indices of clique-inserted lattices'. J. Stat. Mech. Theory Exp. .
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  57. Liu, J.B., X.F. Pan and J. Cao, 2014. Some properties on Estrada index of folded Hypercubes networks. Abstract Applied Anal., Vol. 2014. 10.1155/2014/167623.
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  58. Liu, J.B., J. Cao and J. Xie, 2014.. On the incidence energy of some toroidal lattices. Abstract Applied Anal., Vol. 2014. 10.1155/2014/568153.
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  59. Liu, J., X.F. Pan, Y. Wang and J. Cao, 2014. The Kirchhoff index of folded hypercubes and some variant networks. Math. Problems Eng., Vol. 2014. 10.1155/2014/380874.
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  60. Liu, F., Q. Song, J. Cao and J. Lu, 2014. Pinning synchronization of one-sided lipschitz complex networks. Discrete Dynamics Nat. Soc., Vol. 2014. 10.1155/2014/627060.
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  61. Liu, F., Q. Song, J. Cao and J. Lu, 2014. Pinning Lur�e complex networks via output feedback control. Math. Problems Eng., Vol. 2014. 10.1155/2014/946560.
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  62. Li, X., Q. Zhu and D. O'Regan, 2014. pth Moment exponential stability of impulsive stochastic functional differential equations and application to control problems of NNs. J. Franklin Inst., 351: 4435-4456.
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  63. Li, N., J. Cao and T. Hayat, 2014. Delay-decomposing approach to robust stability for switched interval networks with state-dependent switching. Cognitive Neurodynam., 8: 313-326.
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  64. Li, N. and J. Cao, 2014. Periodically intermittent control on robust exponential synchronization for switched interval coupled networks. Neurocomputing, 131: 52-58.
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  65. Li, N. and J. Cao, 2014. Intermittent control on switched networks via ω-matrix measure method. Nonlinear Dynamics, 77: 1363-1375.
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  66. Li, J., M. Hu, J. Cao, Y. Yang and Y. Jin, 2014. Stability of uncertain impulsive stochastic genetic regulatory networks with time-varying delay in the leakage term. Abstract Applied Anal., Vol. 2014. 10.1155/2014/706720.
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  67. Li, F., L. Wei, J. Cao, F. Hu and H. Zhao, 2014. On the maximum estrada index of 3-uniform linear hypertrees. Scient. World J., Vol. 2014. 10.1155/2014/637865.
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  68. Huang, C. and J. Cao, 2014. Hopf bifurcation in an n-dimensional Goodwin model via multiple delays feedback. Nonlinear Dynamics, 79: 2541-2552.
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  69. Hu, M., J. Cao and A. Hu, 2014. Mean square exponential stability for discrete-time stochastic switched static neural networks with randomly occurring nonlinearities and stochastic delay. Neurocomputing, 129: 476-481.
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  70. Hu, M., J. Cao and A. Hu, 2014. Exponential stability of discrete-time recurrent neural networks with time-varying delays in the leakage terms and linear fractional uncertainties. IMA J. Math. Control Inform., 31: 345-362.
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  71. Hu, J., Y. Li, T. Yong, J. Cao, J. Yu and W. Mao, 2014. Distributed cooperative regulation for multiagent systems and its applications to power systems: A survey. Scient. World J., Vol. 2014. 10.1155/2014/139028.
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  72. Hu, J., J. Yu, J. Cao, M. Ni and W. Yu, 2014. Topological interactive analysis of power system and its communication module: A complex network approach. Phys. A: Stat. Mech. Applic., 416: 99-111.
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  73. Hu, J., J. Liang and J. Cao, 2014. Synchronization of hybrid-coupled heterogeneous networks: Pinning control and impulsive control schemes. J. Franklin Inst., 351: 2600-2622.
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  74. Hu, J., J. Cao, J. Yu and T. Hayat, 2014. Consensus of nonlinear multi-agent systems with observer-based protocols. Syst. Control Lett., 72: 71-79.
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  75. Hu, J., J. Cao and T. Hayat, 2014. Stability and Hopf bifurcation analysis for an energy resource system. Nonlinear Dynamics, 78: 219-234.
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  76. Hu, A.H., J.D. Cao, M.F. Hu and L.X. Guo, 2014. Consensus of a leader-following multi-agent system with negative weights and noises. IET Control Theory Applic., 8: 114-119.
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  77. Hu, A., J. Cao, M. Hu and L. Guo, 2014. Cluster synchronization in directed networks of non-identical systems with noises via random pinning control. Phys. A: Statist. Mechan. Applic., 395: 537-548.
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  78. Hu, A., J. Cao and M. Hu, 2014. Consensus of leader-following multi-agent systems in time-varying networks via intermittent control. Int. J. Control Automation Syst., 12: 969-976.
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  79. Cheng, Z., J. Cao and T. Hayat, 2014. Cascade of failures in interdependent networks with different average degree. Int. J. Modern Phys. C, Vol. 25, No. 5. 10.1142/S0129183114400063.
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  80. Cheng, Z. and J. Cao, 2014. Hybrid control of Hopf bifurcation in complex networks with delays. Neurocomputing, 131: 164-170.
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  81. Chandrasekar, A., R. Rakkiyappan, J. Cao and S. Lakshmanan, 2014. Synchronization of memristor-based recurrent neural networks with two delay components based on second-order reciprocally convex approach. Neural Networks, 57: 79-93.
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  82. Cao, J., T. Yong, G. Wen, W. Yu, X. Yu and A. Alofi, 2014. Cooperative control and its engineering applications in power systems. Scient. World J. 10.1155/2014/795389.
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  83. Cao, J., Q. Liu, S. Arik, J. Qiu, H. Jiang and A. Elaiw, 2014. Computational neuroscience. Comput. Mathe. Methods Medic. 10.1155/2014/120280.
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  84. Cao, J., J. Lu, A. Elaiw, X. Yang and Q. Song, 2014. Coupled network systems and their collective behavior. Abstract Applied Anal. 10.1155/2014/847262.
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  85. Cao, J., G. Hu, W. Lin, G. Wen, W. Yu and Z. Zuo, 2014. Networked dynamical systems: Analysis and synthesis. Discrete Dynamics Nat. Soc., Vol. 2014. .
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  86. Cao, J. and Y. Wan, 2014. Matrix measure strategies for stability and synchronization of inertial BAM neural network with time delays. Neural Networks, 53: 165-172.
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  87. Alofi, A., J. Cao, A. Elaiw and A. Al-Mazrooei, 2014. Delay-dependent stability criterion of Caputo fractional neural networks with distributed delay. Discrete Dynamics Nat. Soc., Vol. 2014. 10.1155/2014/529358.
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  88. Zhihui, Y. and C. Jinde, 2013. Initial value problems for arbitrary order fractional differential equations with delay. Commun. Nonlinear Sci. Numer. Simul., 18: 2993-3005.
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  89. Zhengxin, W, C. Jinde, C. Guanrong and X. Liu, 2013. Synchronization in an array of nonidentical neural networks with leakage delays and impulsive coupling. Neurocomputing, 111: 177-183.
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  90. Zheng, C. and J. Cao, 2013. Robust synchronization of dynamical network with impulsive disturbances and uncertain parameters. Int. J. Contro Autom. Syst., 11: 657-665.
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  91. Yuan, K., S. Fei and J. Cao, 2013. Partial synchronization of the distributed parameter system with time delay via fuzzy control. IMA J. Math. Control Inform., 31: 51-72.
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  92. Yuan, J., J. Cao and B. Xia, 2013. Arresting strategy based on dynamic criminal networks changing over time. Discrete Dynamics Nat. Soc., Vol. 2013. 10.1155/2013/296729.
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  93. Ying ,S., C.Jinde and S. Chen, 2013. Uniform quasi-synchronization of fractional-order chaotic systems in the presence of parameter mismatches using active control. Electron. Autom.Eng., 181: 135-141.
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  94. Yang, X., Z. Wu and C. Jinde, 2013. Finite-time synchronization of complex networks with nonidentical discontinuous nodes. Nonlinear Dyn., 73: 2313-2327.
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  95. Yang, X., J. Cao and Z. Yang, 2013. Synchronization of Coupled Reaction-Diffusion Neural Networks with Time-Varying Delays via Pinning-Impulsive Controller. SIAM J. Control Optim., 51: 3486-3510.
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  96. Yang, X., J. Cao and J. Lu, 2013. Synchronization of coupled neural networks with random coupling strengths and mixed probabilistic time-varying delays. Int. J. Robust Nonlinear Control, 23: 2060-2081.
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  97. Yang, X., C. Jinde and J. Lu, 2013. Synchronization of randomly coupled neural networks with markovian jumping and time-delay. IEEE Trans. Circuits Syst. I Regul. Pap., 60: 363-376.
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  98. Yang, X. and J. Cao, 2013. Exponential synchronization of delayed neural networks with discontinuous activations. IEEE Trans. Circuits Syst. I Regul. Pap., 60: 2431-2439.
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  99. Xinsong Y. and C. Jinde, 2013. Synchronization of discontinuous neural networks with delays via adaptive control. Discrete Dyn. Nat. Soc., Vol.2013. 10.1155/2013/147164.
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  100. Xiao, M., Zheng, W. X and J. Cao, 2013. Frequency domain approach to computational analysis of bifurcation and periodic solution in a two-neuron network model with distributed delays and self-feedbacks. Neurocomputing, 99: 206-213.
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  101. Xiao, M., W.X. Zheng and J. Cao, 2013. Hopf bifurcation of an (n+1)-neuron bidirectional associative memory neural network model with delays IEEE Trans. Neural Networks Learn. Syst., 24: 118-132.
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  102. Xiao, M., W.X. Zheng and J. Cao, 2013. Bifurcation control of a congestion control model via state feedback. Int. J. Bifurcation Chaos, Vol. 23. .
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  103. Xiao, M., W.X. Zheng and J. Cao, 2013. Bifurcation and control in a neural network with small and large delays. Neural Networks, 44: 132-142.
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  104. Xiao, M., W.X. Zheng and J. Cao, 2013. Approximate expressions of a fractional order Van der Pol oscillator by the residue harmonic balance method. Math. Comput. Simul., 89: 1-12.
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  105. Wangli, H., D. Wenl, Q. Feng, and Cao, J 2013. Synchronization analysis of heterogeneous dynamical networks. Neurocomputing, 104: 146-154.
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  106. Wang, Y., J. Cao, Z. Jin, H. Zhang and G.Q. Sun, 2013. Impact of media coverage on epidemic spreading in complex networks. Phys. A: Stat. Mech. Applic., 392: 5824-5835.
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  107. Wang, Y. and J. Cao, 2013. Exponential stability of stochastic higher-order BAM neural networks with reaction�diffusion terms and mixed time-varying delays. Neurocomputing, 119: 192-200.
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  108. Wang, Y. and J. Cao, 2013. Cluster synchronization in nonlinearly coupled delayed networks of non-identical dynamic systems. Nonlinear Anal. Real World Applic., 14: 842-851.
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  109. Wang, G., J. Cao and J. Liang, 2013. Exponential stability in the mean square for stochastic neural networks with mixed time-delays and Markovian jumping parameters. Nonlinear Dynam., 57: 209-218.
    CrossRef  |  Direct Link  |  
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  233. He, H., F. Gang and J. Cao, 2009. Exponential synchronization of chaotic Lur'e systems with delayed feedback control. Nonlinear Dyn., 57: 441-453.
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  236. Bao, H. and J. Cao, 2009. Existence and uniqueness of solutions to neutral stochastic functional differential equations with infinite delay. Appl. Math. Comput., 215: 1732-1743.
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  237. Yuan, K., H.X. Li and J. Cao, 2008. Robust stabilization of the distributed parameter system with time delay via fuzzy control. IEEE Trans. Fuzzy Syst., 16: 567-584.
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  241. Yongqing, Y. and J. Cao, 2008. A feedback neural network for solving convex constraint optimization problems. Appl. Math. Compu., 201: 340-350.
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  242. Yonghui, S., C. Jinde and F. Gang, 2008. An adaptive chaotic secure communication scheme with channel noises. Phys. Lett. A, 372: 5442-5447.
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  244. Xiao, M. and J. Cao, 2008. Genetic oscillation deduced from Hopf bifurcation in a genetic regulatory network with delays. Math. Biosci., 215: 55-63.
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  245. Xiao, M. and J. Cao, 2008. Bifurcation analysis on a discrete-time tabu learning model. J. Comput. Applied Math., 220: 725-738.
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  246. Xiang, H. and J. Cao, 2008. Periodic oscillation of fuzzy cohen-grossberg neural networks with distributed delay and variable coefficients. J. Applied Math. 10.1155/2008/453627.
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  248. Wenjun, X., S. Laizhong and C. Jinde, 2008. Adaptive robust convergence of neural networks with time-varying delays. Nonlinear Anal. Real World Appl., 9: 1283-1291.
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  250. Wang, Z., H. Gao, J. Cao and X. Liu, 2008. On delayed genetic regulatory networks with polytopic uncertainties: Robust stability analysis. IEEE Trans. NanoBiosci., 7: 154-163.
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  255. Song, Q. and J. Cao, 2008. Global dissipativity analysis on uncertain neural networks with mixed time-varying delays. Chaos: Interdisciplinary J. Nonlinear Sci., Vol. 18. 10.1063/1.3041151.
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  256. Song, Q. and J. Cao, 2008. Dynamical behaviors of discrete-time fuzzy cellular neural networks with variable delays and impulses. J. Franklin Inst., 345: 39-59.
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  257. Ren, F. and J. Cao, 2008. Asymptotic and robust stability of genetic regulatory networks with time-varying delays. Neurocomputing, 71: 834-842.
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  258. Qiu, J. and J. Cao, 2008. Exponential stability of a competitive Lotka-Volterra system with delays. Applied Math. Comput., 201: 819-829.
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  259. Lu, J., D.W. Ho and J. Cao, 2008. Synchronization in an array of nonlinearly coupled chaotic neural networks with delay coupling. Int. J. Bifurcation Chaos, 18: 3101-3111.
  260. Liu, F., Q. Song and J. Cao, 2008. Improvements and applications of entrainment control for nonlinear dynamical systems. Chaos: Interdisciplinary J. Nonlinear Sci., Vol. 18. 10.1063/1.3029670.
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  264. Jiang, H. and J. Cao, 2008. BAM-type Cohen-Grossberg neural networks with time delays. Math. Comput. Modell., 47: 92-103.
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  265. Huang, H., G. Feng and J.D. Cao, 2008. An LMI approach to delay-dependent state estimation for delayed neural networks. Neurocomputing, 71: 2857-2867.
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  266. Huang, H., G. Feng and J. Cao, 2008. Robust state estimation for uncertain neural networks with time-varying delay. IEEE Trans. Neural Networks, 19: 1329-1339.
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  267. Huang, G., J. Cao, G. Wang and Y. Qu, 2008. The strength of the minority. Physica A: Stat. Mech. Applic., 387: 4665-4672.
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  268. Huang, G. and J. Cao, 2008. Multistability of neural networks with discontinuous activation function. Commun. Nonlinear Sci. Numerical Simulation, 13: 2279-2289.
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  269. Huang, G. and J. Cao, 2008. Multistability in bidirectional associative memory neural networks. Phys. Lett. A, 372: 2842-2854.
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  270. He, W. and J. Cao, 2008. Robust stability of genetic regulatory networks with distributed delay. Cognit. Neurodyn., 2: 355-361.
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  271. Chenga,z.,J.Cao., 2008. Bifurcation control in small-world networks. Neurocomputing 72: 1712-1718.
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  277. Yu, W., J. Cao and G. Chen, 2007. Robust adaptive control of unknown modified Cohen-Grossberg neural networks with delays. IEEE Trans. Circ. Syst. II: Express Briefs, 54: 502-506.
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  278. Yu, W., G. Chen, J. Cao, J. Lu and U. Parlitz, 2007. Parameter identification of dynamical systems from time series. Phys. Rev. E, Vol. 75. .
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  279. Yu, W. and J. Cao, 2007. Synchronization control of stochastic delayed neural networks. Physica A: Stat. Mech. Applic., 373: 252-260.
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  280. Yu, W. and J. Cao, 2007. Stability and Hopf bifurcation on a two-neuron system with time delay in the frequency domain. Int. J. Bifurcation Chaos, 17: 1355-1366.
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  281. Yu, W. and J. Cao, 2007. Robust control of uncertain stochastic recurrent neural networks with time-varying delay. Neural Process. Lett., 26: 101-119.
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  282. Yu, W. and J. Cao, 2007. Adaptive synchronization and lag synchronization of uncertain dynamical system with time delay based on parameter identification. Phys. A: Stat. Mech. Applic., 375: 467-482.
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  283. Yang, Z. and J. Cao, 2007. Periodic solutions for general nonlinear state-dependent delay logistic equations. Nonlinear Anal.: Theory Methods Applic., 66: 1378-1387.
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  284. Yang, Y. and J. Cao, 2007. Stability and periodicity in delayed cellular neural networks with impulsive effects. Nonlinear Anal.: Real World Applic., 8: 362-374.
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  285. Yang, Y. and J. Cao, 2007. Exponential lag synchronization of a class of chaotic delayed neural networks with impulsive effects. Phys. A: Stat. Mech. Applic., 386: 492-502.
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  286. Xiao, M. and J. Cao, 2007. Delayed feedback-based bifurcation control in an Internet congestion model. J. Math. Anal. Applic., 332: 1010-1027.
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  287. Xiao, M. and J. Cao, 2007. Bifurcation analysis and chaos control for Lu system with delayed feedback. Int. J. Bifurcation Chaos, 17: 4309-4322.
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  288. Xia, Y., J. Cao and Z. Huang, 2007. Existence and exponential stability of almost periodic solution for shunting inhibitory cellular neural networks with impulses. Chaos Solitons Fractals, 34: 1599-1607.
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  289. Xia, Y., J. Cao and S.S. Cheng, 2007. Periodic solutions for a Lotka-Volterra mutualism system with several delays. Applied Math. Modell., 31: 1960-1969.
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  290. Xia, Y., J. Cao and S.S. Cheng, 2007. Multiple periodic solutions of a delayed stage-structured predator-prey model with non-monotone functional responses. Applied Math. Modell., 31: 1947-1959.
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  291. Xia, Y., J. Cao and S.S. Cheng, 2007. Global exponential stability of delayed cellular neural networks with impulses. Neurocomputing, 70: 2495-2501.
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  292. Xia, Y., J. Cao and S.S. Cheng, 2007. Global exponential stability of delayed cellular neural networks with impulses. Neurocomputing, 70: 2495-2501.
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  293. Xia, Y., J. Cao and M. Lin, 2007. New results on the existence and uniqueness of almost periodic solution for BAM neural networks with continuously distributed delays. Chaos Solitons Fractals, 31: 928-936.
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  294. Xia, Y., J. Cao and M. Lin, 2007. Existence and global exponential stability of periodic solution of a class of impulsive networks with infinite delays. Int. J. Neural Syst., 17: 35-42.
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  295. Xia, Y., J. Cao and M. Lin, 2007. Discrete-time analogues of predator-prey models with monotonic or nonmonotonic functional responses. Nonlinear Anal.: Real World Applic., 8: 1079-1095.
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  296. Xia, Y., J. Cao and M. Han, 2007. A new analytical method for the linearization of dynamic equation on measure chains. J. Differ. Equat., 235: 527-543.
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  297. Xia, Y. and J. Cao, 2007. Almost-periodic solutions for an ecological model with infinite delays. Proc. Edinburgh Math. Soc., 50: 229-249.
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  298. Wang, Y. and J. Cao, 2007. Synchronization of a class of delayed neural networks with reaction-diffusion terms. Phys. Lett. A, 369: 201-211.
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  299. Sun, Y., J. Cao and Z. Wang, 2007. Exponential synchronization of stochastic perturbed chaotic delayed neural networks. Neurocomputing, 70: 2477-2485.
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  300. Sun, Y. and J. Cao, 2007. Adaptive synchronization between two different noise-perturbed chaotic systems with fully unknown parameters. Physica A: Stat. Mech. Applic., 376: 253-265.
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  302. Sun, Y. and J. Cao, 2007. pth moment exponential stability of stochastic recurrent neural networks with time-varying delays. Nonlinear Anal.: Real World Applic., 8: 1171-1185.
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  303. Song, Q. and J. Cao, 2007. Synchronization and anti-synchronization for chaotic systems. Chaos Solitons Fractals, 33: 929-939.
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  304. Song, Q. and J. Cao, 2007. Stability analysis of impulsive Cohen-Grossberg neural network with unbounded discrete time-varying delays. Int. J. Neural Syst., 17: 407-417.
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  305. Song, Q. and J. Cao, 2007. Impulsive effects on stability of fuzzy Cohen-Grossberg neural networks with time-varying delays. IEEE Trans. Syst. Man Cybern. Part B: Cybern., 37: 733-741.
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  306. Song, Q. and J. Cao, 2007. Global robust stability of interval neural networks with multiple time-varying delays. Math. Comput. Simulation, 74: 38-46.
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  307. Song, Q. and J. Cao, 2007. Global exponential stability of bidirectional associative memory neural networks with distributed delays. J. Comput. Applied Math., 202: 266-279.
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  308. Song, Q. and J. Cao, 2007. Exponential stability for impulsive BAM neural networks with time-varying delays and reaction-diffusion terms. Adv. Difference Equations, Vol. 2007. 10.1155/2007/78160.
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  310. Ren, F. and J. Cao, 2007. Periodic solutions for a class of higher-order Cohen-Grossberg type neural networks with delays. Comput. Math. Applic., 54: 826-839.
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  311. Ren, F. and J. Cao, 2007. Periodic oscillation of higher-order bidirectional associative memory neural networks with periodic coefficients and delays. Nonlinearity, 20: 605-629.
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  312. Qiu, J., J. Cao and Z. Cheng, 2007. Global asymptotical stability for neural networks with multiple time-varying delays. Adv. Neural Networks, 4491: 1025-1033.
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  314. Lu, J. and J. Cao, 2007. Adaptive synchronization in tree-like dynamical networks. Nonlinear Anal.: Real World Applic., 8: 1252-1260.
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  315. Liang, J. and J. Cao, 2007. Global output convergence of recurrent neural networks with distributed delays. Nonlinear Anal.: Real World Applic., 8: 187-197.
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  316. Li, X. and J. Cao, 2007. Exponential stability of stochastic interval hopfield neural networks with time-varying delays. Neural Network World, 17: 31-40.
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  317. Li, X. and J. Cao, 2007. Delay-independent exponential stability of stochastic Cohen-Grossberg neural networks with time-varying delays and reaction-diffusion terms. Nonlinear Dynamics, 50: 363-371.
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  318. Li, P., J. Cao and Z. Wang, 2007. Robust impulsive synchronization of coupled delayed neural networks with uncertainties. Physica A: Stat. Mech. Applic., 373: 261-272.
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  319. Li, P. and J. Cao, 2007. Stabilisation and synchronisation of chaotic systems via hybrid control. IET Control Theory Applic., 1: 795-801.
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  320. Li, P. and J. Cao, 2007. Global stability in switched recurrent neural networks with time-varying delay via nonlinear measure. Nonlinear Dyn., 49: 295-305.
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  321. Huang, X., J. Lam, J. Cao and S. Xu, 2007. Robust synchronization criteria for recurrent neural networks via linear feedback. Int. J. Bifurcation Chaos, 17: 2723-2738.
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  323. Huang, H. and J. Cao, 2007. Master-slave synchronization of Lur'e systems based on time-varying delay feedback control. Int. J. Bifurcation Chaos, 17: 4159-4166.
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  324. Huang, H. and J. Cao, 2007. Exponential stability analysis of uncertain stochastic neural networks with multiple delays. Nonlinear Anal.: Real World Applic., 8: 646-653.
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  325. He, W. and J. Cao, 2007. Stability and bifurcation of a class of discrete-time neural networks. Applied Math. Modell., 31: 2111-2122.
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  326. Cheng, Z. and J. Cao, 2007. Hopf bifurcation control for delayed complex networks. J. Franklin Inst., 344: 846-857.
  327. Chen, A., L. Huang and J. Cao, 2007. Exponential stability of delayed bidirectional associative memory neural networks with reaction diffusion terms. Int. J. Syst. Sci., 38: 421-432.
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  328. Chen, A. and J. Cao, 2007. Periodic bi-directional Cohen-Grossberg neural networks with distributed delays. Nonlinear Anal.: Theory Methods Applic., 66: 2947-2961.
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  329. Cao, J., Z. Wang and Y. Sun, 2007. Synchronization in an array of linearly stochastically coupled networks with time delays. Physica A: Stat. Mech. Applic., 385: 718-728.
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  331. Cao, J. and M. Xiao, 2007. Stability and Hopf bifurcation in a simplified BAM neural network with two time delays. IEEE Trans. Neural Networks, 18: 416-430.
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  332. Yuan, K., J. Cao and J. Deng, 2006. Exponential stability and periodic solutions of fuzzy cellular neural networks with time-varying delays. Neurocomputing, 69: 1619-1627.
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  333. Yuan, K., J. Cao and H.X. Li, 2006. Robust stability of switched Cohen-Grossberg neural networks with mixed time-varying delays. IEEE Trans. Syst. Man Cybernet. Part B: Cybernet., 36: 1356-1363.
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  334. Yuan, K. and J. Cao, 2006. Periodic oscillatory solution in delayed competitive-cooperative neural networks: A decomposition approach. Chaos Solitons Fractals, 27: 223-231.
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  335. Yu, W. and J. Cao, 2006. Stability and Hopf bifurcation analysis on a four-neuron BAM neural network with time delays. Phys. Lett. A, 351: 64-78.
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  336. Yu, W. and J. Cao, 2006. Cryptography based on delayed chaotic neural networks. Phys. Lett. A, 356: 333-338.
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  337. Yu, W. and J. Cao, 2006. Adaptive QS (lag, anticipated and complete) time-varying synchronization and parameters identification of uncertain delayed neural networks. Chaos: Interdisciplin. J. Nonlinear Sci., Vol. 16, No. 2. 10.1063/1.2204747.
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  338. Yang, Y. and J. Cao, 2006. Solving quadratic programming problems by delayed projection neural network. IEEE Trans. Neural Networks/ Publication IEEE Neural Networks Council, 17: 1630-1634.
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  339. Yang, Y. and J. Cao, 2006. A delayed neural network method for solving convex optimization problems. Int. J. Neural Syst., 16: 295-303.
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  340. Xiong, W., W. Xie and J. Cao, 2006. Adaptive exponential synchronization of delayed chaotic networks. Physica A: Stat. Mech. Applic., 370: 832-842.
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  341. Xiao, M. and J. Cao, 2006. Stability and Hopf bifurcation in a delayed competitive web sites model. Phys. Lett. A, 353: 138-150.
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  342. Xia, Y. and J. Cao, 2006. Global attractivity of a periodic ecological model with m-predators and n-preys by pure-delay type system. Comput. Math. Applic., 52: 829-852.
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  343. Wang, W. and J. Cao, 2006. Synchronization in an array of linearly coupled networks with time-varying delay. Physica A: Statist. Mechan. Applic., 366: 197-211.
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  344. Wang, W. and J. Cao, 2006. LMI-based criteria for globally robust stability of delayed Cohen-Grossberg neural networks. IEE Proc.-Control Theory Applic., 153: 397-402.
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  345. Song, Q., J. Cao and Z. Zhao, 2006. Periodic solutions and its exponential stability of reaction-diffusion recurrent neural networks with continuously distributed delays. Nonlinear Anal.: Real World Applic., 7: 65-80.
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  346. Song, Q. and J. Cao, 2006. Stability analysis of Cohen-Grossberg neural network with both time-varying and continuously distributed delays. J. Comput. Applied Mathe., 197: 188-203.
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  348. Ren, F. and J. Cao, 2006. Novel α-stability criterion of linear systems with multiple time delays. Applied Math. Comput., 181: 282-290.
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  349. Ren, F. and J. Cao, 2006. LMI-based criteria for stability of high-order neural networks with time-varying delay. Nonlinear Anal.: Real World Applic., 7: 967-979.
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  350. Qiu, J. and J. Cao, 2006. Global asymptotical stability in neutral-type delayed neural networks with reaction-diffusion terms. Adv. Neural Networks, 3971: 153-158.
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  351. Lu, J., J. He, J. Cao and Z. Gao, 2006. Topology influences performance in the associative memory neural networks. Phys. Lett. A, 354: 335-343.
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  352. Liu, Q. and J. Cao, 2006. Improved global exponential stability criteria of cellular neural networks with time-varying delays. Math. Comput. Modell., 43: 423-432.
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  353. Liang, J. and J. Cao, 2006. A based-on LMI stability criterion for delayed recurrent neural networks. Chaos Solitons Fractals, 28: 154-160.
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  354. Li, P. and J. Cao, 2006. Stability in static delayed neural networks: A nonlinear measure approach. Neurocomputing, 69: 1776-1781.
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  355. Jiang, H., J. Cao and Z. Teng, 2006. Dynamics of Cohen-Grossberg neural networks with time-varying delays. Phys. Lett. A, 354: 414-422.
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  356. Jiang, H. and J. Cao, 2006. Global exponential stability of periodic neural networks with time-varying delays. Neurocomputing, 70: 343-350.
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  357. Huang, X., J. Cao and D.W. Ho, 2006. Existence and attractivity of almost periodic solution for recurrent neural networks with unbounded delays and variable coefficients. Nonlinear Dyn., 45: 337-351.
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  358. Huang, X., J. Cao and D.W. Ho, 2006. Synchronization criteria for Lur'e systems by dynamic output feedback with time-delay. Int. J. Bifurcation Chaos, 16: 2293-2307.
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  360. Huang, T., J. Cao and C. Li, 2006. Necessary and sufficient condition for the absolute exponential stability of a class of neural networks with finite delay. Phys. Lett. A, 352: 94-98.
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  361. Cheng, Z., Y. Lin and J. Cao, 2006. Dynamical behaviors of a partial-dependent predator-prey system. Chaos Solitons Fractals, 28: 67-75.
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  362. Cheng, Z. and J. Cao, 2006. Bifurcation and stability analysis of a neural network model with distributed delays. Nonlinear Dyn., 46: 363-373.
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  363. Chen, A., L. Huang, Z. Liu and J. Cao, 2006. Periodic bidirectional associative memory neural networks with distributed delays. J. Mathe. Anal. Applic., 317: 80-102.
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  364. Cao, J., W. Yu and Y. Qu, 2006. A new complex network model and convergence dynamics for reputation computation in virtual organizations. Phys. Lett. A, 356: 414-425.
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  365. Cao, J., P. Li and W. Wang, 2006. Global synchronization in arrays of delayed neural networks with constant and delayed coupling. Phys.Lett. A, 353: 318-325.
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  366. Cao, J., K. Yuan, D.W. Ho and J. Lam, 2006. Global point dissipativity of neural networks with mixed time-varying delays. Chaos: Interdisciplin. J. Nonlinear Sci., Vol. 16, No. 1. 10.1063/1.2126940.
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  367. Cao, J., K. Yuan and H.X. Li, 2006. Global asymptotical stability of recurrent neural networks with multiple discrete delays and distributed delays. IEEE Trans. Neural Networks, 17: 1646-1651.
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  368. Cao, J., H.X. Li and L. Han, 2006. Novel results concerning global robust stability of delayed neural networks. Nonlinear Anal.: Real World Applic., 7: 458-469.
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  369. Cao, J. and Q. Song, 2006. Stability in Cohen-Grossberg-type bidirectional associative memory neural networks with time-varying delays. Nonlinearity, 19: 1601-1617.
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  370. Cao, J. and J. Lu, 2006. Adaptive synchronization of neural networks with or without time-varying delay. Chaos: Interdisciplin. J. Nonlinear Sci., Vol. 16, No. 1. 10.1063/1.2178448.
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  371. Zhou, D.M., J.D. Cao and L.M. Zhang, 2005. Global asymptotic stability conditions of delayed neural networks. Applied Math. Mech., 26: 372-380.
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  372. Zhao, H. and J. Cao, 2005. New conditions for global exponential stability of cellular neural networks with delays. Neural Networks, 18: 1332-1340.
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  373. Yuan, K. and J. Cao, 2005. An analysis of global asymptotic stability of delayed Cohen-Grossberg neural networks via nonsmooth analysis. IEEE Trans. Circ. Syst. I: Regular Papers, 52: 1854-1861.
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  374. Yu, W. and J. Cao, 2005. Hopf bifurcation and stability of periodic solutions for van der Pol equation with time delay. Nonlinear Anal.: Theory Methods Applic., 62: 141-165.
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  375. Yang, Z. and J. Cao, 2005. Existence of periodic solutions in neutral state-dependent delays equations and models. J. Comput. Applied Mathe., 174: 179-199.
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  376. Yang, Y., J. Cao and D. Zhu, 2005. A Neural Network Methodology of Quadratic Optimization with Quadratic Equality Constraints. In: Advances in Neural Networks-ISNN 2005, Wang, J., X. Liao and Z. Yi (Eds.)., Springer, Berlin, Heidelberg, ISBN: 978-3-540-25912-1, pp: 706-711.
  377. Xiong, W. and J. Cao, 2005. Global exponential stability of discrete-time Cohen-Grossberg neural networks. Neurocomputing, 64: 433-446.
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  378. Xiong, W. and J. Cao, 2005. Absolutely exponential stability of Cohen-Grossberg neural networks with unbounded delays. Neurocomputing, 68: 1-12.
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  379. Xia, Y., M. Lin and J. Cao, 2005. The existence of almost periodic solutions of certain perturbation systems. J. Math. Anal. Applic., 310: 81-96.
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  380. Xia, Y. and J. Cao, 2005. Almost periodicity in an ecological model with M-predators and N-preys by pure-delay typ system. Nonlinear Dynam., 39: 275-304.
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  381. Song, Q. and J. Cao, 2005. Global exponential stability and existence of periodic solutions in BAM networks with delays and reaction-diffusion terms. Chaos Solitons Fractals, 23: 421-430.
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  382. Qiu, J. and J. Cao, 2005. An Analysis for Periodic Solutions of High-Order BAM Neural Networks with Delays. In: Advances in Neural Networks-ISNN 2005, Wang, J. X. Liao and Z. Yi (Eds.). Springer, Berlin, Heidelberg, pp: 288-293.
  383. Lu, J. and J. Cao, 2005. Adaptive complete synchronization of two identical or different chaotic (hyperchaotic) systems with fully unknown parameters. Chaos: Interdisciplinary J. Nonlinear Sci., Vol. 15. 10.1063/1.2089207.
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  384. Liu, Q., J. Cao and Y. Xia, 2005. A delayed neural network for solving linear projection equations and its analysis. IEEE Trans. Neural Networks, 16: 834-843.
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  385. Liang, J., J. Cao and J. Lam, 2005. Convergence of discrete-time recurrent neural networks with variable delay. Int. J. Bifurcation Chaos, 15: 581-595.
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  386. Liang, J., J. Cao and D.W.C. Ho, 2005. Discrete-time bidirectional associative memory neural networks with variable delays. Phys. Lett. A, 335: 226-234.
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  387. Huang, X., J. Cao and D.S. Huang, 2005. LMI-based approach for delay-dependent exponential stability analysis of BAM neural networks. Chaos Solitons Fractals, 24: 885-898.
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  388. Huang, H., D.W.C. Ho and J. Cao, 2005. Analysis of global exponential stability and periodic solutions of neural networks with time-varying delays. Neural Networks, 18: 161-170.
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  389. De Chen, F., X.X. Chen, J. De Cao and A.P. Chen, 2005. Positive periodic solutions of a class of non-autonomous single species population model with delays and feedback control. Acta Mathematica Sinica, 21: 1319-1336.
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  390. Chen, A., J. Cao and L. Huang, 2005. Global robust stability of interval cellular neural networks with time-varying delays. Chaos Solitons Fractals, 23: 787-799.
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  391. Cao, J.D. and J. Wang, 2005. Global exponential stability and periodicity of recurrent neural networks with time delays. IEEE Trans. Circ. Syst. I: Regular Pap., 52: 920-931.
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  392. Cao, J., H.X. Li and D.W. Ho, 2005. Synchronization criteria of Lur�e systems with time-delay feedback control. Chaos Solitons Fractals, 23: 1285-1298.
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  393. Cao, J., D.S. Huang and Y. Qu, 2005. Global robust stability of delayed recurrent neural networks. Chaos Solitons Fractals, 23: 221-229.
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  394. Cao, J., A. Chen and X. Huang, 2005. Almost periodic attractor of delayed neural networks with variable coefficients. Phys. Lett. A, 340: 104-120.
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  395. Cao, J. and X. Li, 2005. Stability in delayed Cohen-Grossberg neural networks: LMI optimization approach. Physica D: Nonlinear Phenomena, 212: 54-65.
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  396. Cao, J. and J. Wang, 2005. Global asymptotic and robust stability of recurrent neural networks with time delays. IEEE Trans. Circ. Syst. I: Regular Pap., 52: 417-426.
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  397. Cao, J. and D.W. Ho, 2005. A general framework for global asymptotic stability analysis of delayed neural networks based on LMI approach. Chaos Solitons Fractals, 24: 1317-1329.
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  398. Zhou, D., L. Zhang and J. Cao, 2004. On global exponential stability of cellular neural networks with Lipschitz-continuous activation function and variable delays. Applied Math. Comput., 151: 379-392.
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  399. Yang, Z. and J. Cao, 2004. Positive periodic solutions of neutral Lotka-Volterra system with periodic delays. Applied Math. Comput., 149: 661-687.
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  400. Xia, Y., J. Cao, H. Zhang and F. Chen, 2004. Almost periodic solutions of n-species competitive system with feedback controls. J. Math. Anal. Applic., 294: 503-522.
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  401. Xia, Y., F. Chen, A. Chen and J. Cao, 2004. Existence and global attractivity of an almost periodic ecological model. Applied Math. Comput., 157: 449-475.
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  402. Liu, Q.S. and J.D. Cao, 2004. Invariant set and attractor of nonautonomous functional differential systems: A decomposition approach. Nonlinear Dyn., 37: 19-29.
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  403. Liang, J. and J. Cao, 2004. Global asymptotic stability of bi-directional associative memory networks with distributed delays. Applied Math. Comput., 152: 415-424.
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  404. Liang, J. and J. Cao, 2004. Exponential stability of continuous-time and discrete-time bidirectional associative memory networks with delays. Chaos Solitons Fractals, 22: 773-785.
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  405. Li, X. and J. Cao, 2004. Global exponential robust stability of delayed neural networks. Int. J. Bifurcation Chaos, 14: 2925-2931.
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  406. Jia, G., X.P. Yang and J. Cao, 2004. The Holder continuities of the maps in W1,p(Ω,Hn). Applied Math. Comput., 149: 507-518.
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  407. Huang, H., J. Cao and Y. Qu, 2004. Global robust stability of delayed neural networks with a class of general activation functions. J. Comput. Syst. Sci., 69: 688-700.
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  408. Chen, A., J. Cao and L. Huang, 2004. Exponential stability of BAM neural networks with transmission delays. Neurocomputing, 57: 435-454.
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  409. Cao, J., J. Liang and J. Lam, 2004. Exponential stability of high-order bidirectional associative memory neural networks with time delays. Physica D: Nonlinear Phenomena, 199: 425-436.
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  410. Cao, J., 2004. An estimation of the domain of attraction and convergence rate for Hopfield continuous feedback neural networks. Phys. Lett. A, 325: 370-374.
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  411. Cao, J. and T. Chen, 2004. Globally exponentially robust stability and periodicity of delayed neural networks. Chaos Solitons Fractals, 22: 957-963.
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  412. Cao, J. and Q. Jiang, 2004. An analysis of periodic solutions of bi-directional associative memory networks with time-varying delays. Phys. Lett. A, 330: 203-213.
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  413. Cao, J. and J. Wang, 2004. Delay-dependent robust stability of uncertain nonlinear systems with time delay. Applied Math. Comput., 154: 289-297.
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  414. Cao, J. and J. Wang, 2004. Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays. Neural Networks, 17: 379-390.
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  415. Cao, J. and J. Liang, 2004. Boundedness and stability for Cohen-Grossberg neural network with time-varying delays. J. Math. Anal. Applic., 296: 665-685.
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  416. Cao, J. and G. He, 2004. Periodic solutions for higher-order neutraldifferential equations with several delays. Comput. Math. Applic., 48: 1491-1503.
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  417. Yang, Z. and J. Cao, 2003. Sufficient conditions for the existence of positive periodic solutions of a class of neutral delay models. Applied Math. Comput., 142: 123-142.
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  418. Liu, Z., A. Chen, J. Cao and L. Huang, 2003. Existence and global exponential stability of periodic solution for BAM neural networks with periodic coefficients and time-varying delays. IEEE Trans. Circ. Syst. I: Fundam. Theory Applic., 50: 1162-1173.
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  419. Liu, Z., A. Chen, J. Cao and L. Huang, 2003. Existence and global exponential stability of almost periodic solutions of BAM neural networks with continuously distributed delays. Phys. Lett. A, 319: 305-316.
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  420. Liang, J. and J. Cao, 2003. Global exponential stability of reaction-diffusion recurrent neural networks with time-varying delays. Phys. Lett. A, 314: 434-442.
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  421. Liang, J. and J. Cao, 2003. Boundedness and stability for recurrent neural networks with variable coefficients and time-varying delays. Phys. Lett. A, 318: 53-64.
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  422. Huang, X. and J. Cao, 2003. Almost periodic solution of shunting inhibitory cellular neural networks with time-varying delay. Phys. Lett. A, 314: 222-231.
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  423. Huang, H. and J. Cao, 2003. On global asymptotic stability of recurrent neural networks with time-varying delays. Applied Math. Comput., 142: 143-154.
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  424. Chen, A., L. Huang and J. Cao, 2003. Existence and stability of almost periodic solution for BAM neural networks with delays. Applied Math. Comput., 137: 177-193.
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  425. Chen, A. and J. Cao, 2003. Existence and attractivity of almost periodic solutions for cellular neural networks with distributed delays and variable coefficients. Applied Math. Comput., 134: 125-140.
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  426. Cao, J., 2003. New results concerning exponential stability and periodic solutions of delayed cellular neural networks. Phys. Lett. A, 307: 136-147.
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  427. Cao, J., 2003. Global asymptotic stability of delayed bi-directional associative memory neural networks. Applied Math. Comput., 142: 333-339.
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  428. Cao, J. and M. Dong, 2003. Exponential stability of delayed bi-directional associative memory networks. Applied Math. Comput., 135: 105-112.
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  429. Cao, J. and J. Wang, 2003. Global asymptotic stability of a general class of recurrent neural networks with time-varying delays. IEEE Trans. Circ. Syst. I: Fundam. Theory Applic., 50: 34-44.
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  430. Zhou, D. and J. Cao, 2002. Globally exponential stability conditions for cellular neural networks with time-varying delays. Applied Math. Comput., 131: 487-496.
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  431. Tao, Q., J. Cao and X. Liu, 2002. The BSB neural network in the convex body spanned by the prototype patterns for associative memory. Applied Math. Comput., 132: 575-587.
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  432. Huang, H., J. Cao and J. Wang, 2002. Global exponential stability and periodic solutions of recurrent neural networks with delays. Phys. Lett. A, 298: 393-404.
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  433. He, G. and J. Cao, 2002. Discussion of periodic solutions for pth order delayed NDEs. Applied Math. Comput., 129: 391-405.
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  434. He, G. and J. 2002. Further investigate on periodic solutions of pth order delayed NDEs. Applied Math. Comput., 132: 231-248.
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  435. Chen, A., J. Cao and L. Huang, 2002. An estimation of upperbound of delays for global asymptotic stability of delayed Hopfield neural networks. IEEE Trans. Circ. Syst. I: Fundam. Theory Applic., 49: 1028-1032.
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  436. Chen, A. and J. Cao, 2002. Almost periodic solution of shunting inhibitory CNNs with delays. Phys. Lett. A, 298: 161-170.
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  437. Cao, J., Q. Li and S. Wan, 2002. Periodic solutions of the higher-dimensional non-autonomous systems. Applied Math. Comput., 130: 369-382.
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  438. Cao, J. and L. Wang, 2002. Exponential stability and periodic oscillatory solution in BAM networks with delays. IEEE Trans. Neural Networks, 13: 457-463.
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  439. Zhou, D.M., J.D. Cao and J.B. Li, 2001. Estimation of attraction domain and exponential convergence rate of continuous feedback associative memory. Applied Math. Mech., 22: 320-325.
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  440. Tao, Q., J. Cao, M. Xue and H. Qiao, 2001. A high performance neural network for solving nonlinear programming problems with hybrid constraints. Phys. Lett. A, 288: 88-94.
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  441. Tao, Q., J. Cao and D. Sun, 2001. A simple and high performance neural network for quadratic programming problems. Applied Math. Comput., 124: 251-260.
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  442. Cao, J., 2001. Global stability conditions for delayed CNNs. IEEE Trans. Circ. Syst. I: Fundam. Theory Applic., 48: 1330-1333.
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  443. Cao, J., 2001. Global exponential stability of Hopfield neural networks. Int. J. Syst. Sci., 32: 233-236.
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  444. Cao, J., 2001. A set of stability criteria for delayed cellular neural networks. IEEE Trans. Circ. Syst. I: Fundam. Theory Applic., 48: 494-498.
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  445. Cao, J. and Q. Tao, 2001. Estimation on domain of attraction and convergence rate of Hopfield continuous feedback neural networks. J. Comput. Syst. Sci., 62: 528-534.
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