Mr. Seyed Alireza Moezi
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Mr. Seyed Alireza Moezi

Researcher
Yazd University, Iran

Highest Degree
Masters in Mechanical Engineering from Yazd University, Iran

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Biography

Mr. Seyed Alireza Moezi is M.Sc. (Hons) Student in Mechanical Engineering from Yazd University, Iran. He is member of Iranian Society of Mechanical Engineering. His area of expertise includes Robust Control, Nonlinear Control, Optimization, Crack Detection (Condition Monitoring), and Path Planning (Robotic). He has published 8 research articles in journals, and 3 conferences proceeding as author/co-author.

Area of Interest:

Physical Science Engineering
100%
Dynamic System
62%
Mechanical Engineering
90%
Shape Optimization
75%
Genetic Algorithm
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Zakeri, E., S.A. Moezi and M. Eghtesad, 2019. Optimal interval type-2 fuzzy fractional order super twisting algorithm: A second order sliding mode controller for fully-actuated and under-actuated nonlinear systems. ISA Trans., 85: 13-32.
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  2. Moezi, S.A., E. Zakeri and M. Eghtesad, 2019. Optimal adaptive interval type-2 fuzzy fractional-order backstepping sliding mode control method for some classes of nonlinear systems. ISA Trans., (In Press). 10.1016/j.isatra.2019.03.006.
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  3. Zakeri, E., S.A. Moezi and M. Eghtesad, 2018. Tracking control of ball on sphere system using tuned fuzzy sliding mode controller based on artificial bee colony algorithm. Int. J. Fuzzy Syst., 20: 295-308.
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  4. Moezi, S.A., E. Zakeri and A. Zare, 2018. Structural single and multiple crack detection in cantilever beams using a hybrid Cuckoo-Nelder-Mead optimization method. Mech. Syst. Signal Process., 99: 805-831.
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  5. Moezi, S.A., E. Zakeri and A. Zare, 2018. A generally modified cuckoo optimization algorithm for crack detection in cantilever Euler-Bernoulli beams. Precis. Eng., 52: 227-241.
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  6. Zakeri, E., S.A. Moezi, Y. Bazargan-Lari and A. Zare, 2017. Multi-tracker optimization algorithm: A general algorithm for solving engineering optimization problems. Iran. J. Sci. Technol. Trans. Mech. Eng., 41: 315-341.
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  7. Zakeri, E., S. Farahat, S.A. Moezi and A. Zare, 2016. Robust sliding mode control of a mini unmanned underwater vehicle equipped with a new arrang ement of water jet propulsions: Simulation and experimental study. Appl. Ocean Res., 59: 521-542.
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  8. Zakeri, E., S. Farahat, S.A. Moezi and A. Zare, 2016. Path Planning for Unmanned Underwater Vehicle in 3D Space with Obstacles Using Spline-Imperialist Competitive Algorithm and Optimal Interval Type-2 Fuzzy Logic Controller. Lat. Am. J. Solids Struct., 13: 1054-1085.
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  9. Moezi, S.A., M. Rafeeyan, E. Zakeri and A. Zare, 2016. Simulation and experimental control of a 3-RPR parallel robot using optimal fuzzy controller and fast on/off solenoid valves based on the PWM wave. ISA Trans., 61: 265-286.
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  10. Moezi, S.A., M. Rafeeyan and S. Ebrahimi, 2015. Sliding mode Control of 3-RPR parallel robot on the optimal path using Cuckoo Optimization Algorithm. Acad. J., 15: 147-147.
    Direct Link  |  
  11. Moezi, S.A., E. Zakeri, Y. Bazargan-Lari and A. Zare, 2015. 2&3-Dimensional optimization of connecting rod with genetic and modified cuckoo optimization algorithms. Iran. J. Sci. Technol. Trans. Mech. Eng., 39: 39-49.
    Direct Link  |  
  12. Moezi, S.A., E. Zakeri, A. Zare and M. Nedaei, 2015. On the application of modified cuckoo optimization algorithm to the crack detection problem of cantilever Euler-Bernoulli beam. Comput. Struct., 157: 42-50.
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  13. Zakeri, E., S.A. Moezi, M. Zare and M.P. Rad, 2014. Control of Puma-560 robot using feedback linearization control method and kalman filter estimator for regulation and tracking purpose. J. Math. Comput. Sci., 11: 264-276.
  14. Tahavvor, A.R., E. Zakeri and S.A. Moezi, 2014. Modeling of frost growth on a horizontal circular cylinder under natural convection using fractal geometry analysis. Iran. J. Sci. Technol.-Trans. Mech. Eng., 38: 1-8.
  15. Moezi, S.A., E. Zakeri, Y. Bazargan-Lari and M. Tavallaeinejad, 2014. Control of a ball on sphere system with adaptive neural network method for regulation purpose. J. Applied Sci., 14: 1984-1989.
    CrossRef  |  
  16. Moezi, S.A., E. Zakeri, Y. Bazargan-Lari and M. Khalghollah, 2014. Fuzzy Logic Control of a Ball on Sphere System. Adv. Fuzzy Syst., 10.1155/2014/291430.
    CrossRef  |  Direct Link  |  
  17. Moezi, S.A., E. Zakeri, Y. Bazargan-Lari and A. Zare, 2014. 2D Shape optimization via genetic algorithm. J. Math. Comput. Sci., 11: 209-217.
  18. Zakeri, E., S.A. Moezi and Y. Bazargan-Lari, 2013. Control of a ball on sphere system with adaptive feedback linearization method for regulation purpose. Majlesi J. Mechatron. Eng., 2: 23-27.
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  19. Zakeri, E., A. Ghahramani, S.A. Moezi, R. Gharakhloo and Y. Bazargan-Lari, 2012. Robust adaptive control of a ball on sphere system by consideration of a random disturbance. Trends Applied Sci. Res., (In Press). .
  20. Moezi, S.A., E. Zakeri, Y. Bazargan-Lari, M. Tavallaeinejad and M. khalkhollah, 2012. Controllinga system of ball on sphere using adaptive neural network method. Trends Applied Sci. Res., (In Press). .