Adaptive fuzzy tracking control for a class of nonaffine stochastic nonlinear systems

被引：0

作者：

Wang Huanqing ^{[1
]}

Liu Kefu ^{[2
]}

Liu Xiaoping ^{[2
]}

机构：

[1] Bohai Univ, Sch Math & Phys, Jinzhou 121000, Liaoning, Peoples R China

[2] Lakehead Univ, Fac Engn, Thunder Bay, ON P7B 5E1, Canada

来源：

2014 33RD CHINESE CONTROL CONFERENCE (CCC) | 2014年

关键词：

Adaptive fuzzy control; Stochastic nonaffine nonlinear systems; Backstepping; STABILIZATION; APPROXIMATION;

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：

This paper considers the problem of the adaptive fuzzy tracking control for a class of nonaffine stochastic nonlinear system without lower triangular form. Based on fuzzy logic systems' universal approximation property, an adaptive fuzzy controller is proposed, which guarantees that all the signals in the closed-loop system are bounded in the sense of mean quartic value and the output tracking error eventually converges to a small neighborhood around the origin. Simulation results are provided to illustrate the effectiveness of the proposed scheme.

引用

页码：2287 / 2292

页数：6

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