Stability of Nonlinear Systems Using Optimal Fuzzy Controllers and Its Simulation by Java Programming

作     者：Mohammad Javad Mahmoodabadi Saideh Arabani Mostaghim 

作者机构：Department of Mechanical EngineeringSirjan University of TechnologySirjan ***Iran Department of Computer EngineeringFaculty of EngineeringUniversity of GuilanRasht 3756Iran 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2019年第6卷第6期

页      面：1519-1527页

核心收录：

学科分类：0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 07[理学] 0802[工学-机械工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Double inverted pendulum system fuzzy control Java programming multi-objective algorithm particle swarm optimization(PSO) 

摘      要：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.