Fuzzy adaptive sliding-mode control for MIMO nonlinear systems

被引：314
|
作者：
Tong, SC [1 ]
Li, HX
机构：
[1] Liaoning Inst Technol, Dept Basic Math, Jinzhou 121001, Peoples R China
[2] City Univ Hong Kong, Dept Mfg Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
来源：
IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2003年 / 11卷 / 03期
关键词：
adaptive fuzzy control; multiple-input-multiple-output (MIMO) nonlinear systems; observer; sliding-mode control; stability and robustness;
D O I：
10.1109/TFUZZ.2003.812694
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, the stable adaptive fuzzy sliding-mode controller is developed for nonlinear multivariable systems with unavailable states. When, the system states are not available, the estimated states from a semihigh gain observer are used to construct the output feedback fuzzy controller by incorporating the dynamic sliding mode. It is proved that uniformly asymptotic output feedback stabilization can be achieved with the tracking error approaching to zero. A nonlinear system simulation example is presented to verify the effectiveness of the proposed controller.
引用
收藏
页码：354 / 360
页数：7
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