Decentralized Adaptive Fuzzy Integral Sliding Mode Control for a Class of Large-Scale System

被引：0
|
作者：
Kung, Chung-Chun [1 ]
Chen, Ti-Hung [2 ]
Sun, Wei-Ting [3 ]
机构：
[1] Tatung Univ, Dept Elect Engn, Taipei 104, Taiwan
[2] Lunghwa Univ Sci & Technol, Dept comp Informat & Network Engn, Taoyuan, Taiwan
[3] Northern Taiwan Inst Sci & Technol, Dept Elect Engn, Taipei 112, Taiwan
来源：
2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), VOLS 1-6 | 2008年
关键词：
decentralized fuzzy control; fuzzy large scale system; integral sliding mode controller;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a decentralized adaptive fuzzy integral sliding mode controller (DAFISMC) for a class of large-scale systems in which not all the system states are available for measurement, but the system outputs are measurable. First, we adopt a fuzzy model to approximate the large scale system, and then design an observer to estimate the system states. Next we propose a DAFISMC to control the large-scale system such that the tracking performance of the overall control system can be achieved. By the strictly-positive-real Lyapunov stability theorem, the stability of the overall system Is analyzed. Computer simulations are given to demonstrate the effectiveness of the proposed control strategy.
引用
收藏
页码：955 / +
页数：3
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