Smooth Optimal Control for a Class of Switched Systems Based on Fuzzy Theory and PSO

2017 International Conference on Artificial Intelligence Applications and Technologies

计算机科学

Atashpaz-Gargari, Esmaeil^1

School of Engineering and Computing, National University, San Diego

CA, United States^1

关键词: Fuzzy inference method;    Operating regions;    Optimal control design;    Optimal controller;    Optimal controls;    T S fuzzy system;    Two point boundary value problems;    Weighted averages;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/261/1/012010/pdf
DOI  :  10.1088/1757-899X/261/1/012010

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

This paper proposes an approach to smooth optimal control design of two-point boundary value problem of switched systems with fuzzy operating regions. The switched system is modeled via a T-S fuzzy system, and then the fuzzy inference method of T-S fuzzy system is used to transform the switched system to a nonlinear system. For this nonlinear system, an optimal controller is designed. The control signal is a fuzzy control with weighted average defuzzifier. The fuzzy sets are used to partition the time space and a Particle Swarm Optimization (PSO) algorithm is proposed to optimize the weights. Simulations results demonstrate the applicability and effectiveness of the proposed method.