Decentralized fuzzy control for nonlinear multiple time-delay large-scale systems

被引：0

作者：

Hsiao, FH ^{[1
]}

Hwang, JD ^{[1
]}

Chen, CW ^{[1
]}

机构：

[1] Natl United Univ, Dept Elect Engn, Miaoli 360, Taiwan

来源：

ADVANCES IN DYNAMICS, INSTRUMENTATION AND CONTROL | 2004年

关键词：

D O I：

10.1142/9789812702289_0023

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

To overcome the effect of modeling errors between nonlinear multiple time-delay subsystems and Takagi-Sugeno (T-S) fuzzy models with multiple time delays, a robustness design of fuzzy control is proposed in this paper, In terms of Lyapunov's direct method, a delay-dependent stability criterion is hence derived to guarantee the asymptotic stability of nonlinear multiple time-delay large-scale systems. Based on this criterion and the decentralized control scheme, a set of model-based fuzzy controllers is then synthesized via the technique of parallel distributed compensation (PDC) to stabilize the nonlinear multiple time-delay large-scale system. Finally, a numerical example with simulations is given to demonstrate the concepts discussed throughout this paper.

引用

页码：220 / 235

页数：16

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