Stability analysis of nonlinear control systems with fuzzy DMC controllers

被引：0
|
作者：
Marusak, P [1 ]
Tatjewski, P [1 ]
机构：
[1] Warsaw Univ Technol, Inst Control & Computat Engn, PL-00665 Warsaw, Poland
来源：
ADVANCED FUZZY-NEURAL CONTROL 2001 | 2002年
关键词：
model-based predictive control; nonlinear systems; fuzzy systems; stability;
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：
Stability analysis of nonlinear control systems with fuzzy DMC (FDMC) controllers and nonlinear plants (with delays) is presented in the paper. The FDMC controller is first briefly presented. It is based on analytical formulation of the DMC predictive control algorithm and Takagi-Sugeno fuzzy modeling. The stability analysis of the resulting closed-loop nonlinear control system is based on a transformation of its description to the appropriate form. Then the Tanaka-Sugeno stability criterion can be applied, consisting in solving a set of Lyapunov-type inequalities. The paper is concluded with an illustrative example. Copyright (C) 2001 IFAC.
引用
收藏
页码：21 / 26
页数：6
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