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Stability of Nonlinear Systems Using Optimal Fuzzy Controllers and Its Simulation by Java Programming 被引量:1
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作者 mohammad javad mahmoodabadi Saideh Arabani Mostaghim 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2019年第6期1519-1527,共9页
In this paper, at first, the single input rule modules(SIRMs) dynamically connected fuzzy inference model is used to stabilize a double inverted pendulum system. Then, a multiobjective particle swarm optimization(MOPS... In this paper, at first, the single input rule modules(SIRMs) dynamically connected fuzzy inference model is used to stabilize a double inverted pendulum system. Then, a multiobjective particle swarm optimization(MOPSO) is implemented to optimize the fuzzy controller parameters in order to decrease the distance error of the cart and summation of the angle errors of the pendulums, simultaneously. The feasibility and efficiency of the proposed Pareto front is assessed in comparison with results reported in literature and obtained from other algorithms.Finally, the Java programming with applets is utilized to simulate the stability of the nonlinear system and explain the internetbased control. 展开更多
关键词 Double INVERTED PENDULUM system fuzzy control Java PROGRAMMING MULTI-OBJECTIVE algorithm particle SWARM optimization(PSO)
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