Sliding Mode Control Based on Particle Swarm Optimization and Support Vector Machine

被引：0

作者：

Liu, Mingdan ^{[1
]}

Chen, Zhimei ^{[1
]}

Sun, Zhebin ^{[1
]}

机构：

[1] Taiyuan Univ Sci & Technol, Sch Elect & Informat Engn, Taiyuan, Shanxi, Peoples R China

来源：

2011 9TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2011) | 2011年

关键词：

sliding mode control; particle swarm optimization; support vector machine;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a new method of sliding mode control (SMC) is proposed for a class of discrete-time system based on particle swarm optimization (PSO) and support vector machine (SVM). Parameters, which were limited by determining previously in the conventional reaching law, are adjusted by PSO and SVM on line. The tracking speed of the control system is accelerated according to this method. The disadvantages of large calculation and low precision of SVM are overcome by the method of combination to the PSO. And quality of control system is improved and the system chattering is weakened through the method. Simulation results show the effectiveness of

引用

页码：260 / 264

页数：5

共 8 条

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