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
收藏
页码：220 / 235
页数：16
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