Fuzzy adaptive observer backstepping control for MIMO nonlinear systems

被引：268
|
作者：
Tong Shaocheng [1 ]
Li Changying [1 ]
Li Yongming [1 ]
机构：
[1] Liaoning Univ Technol, Dept Basic Math, Jinzhou 121001, Peoples R China
来源：
FUZZY SETS AND SYSTEMS | 2009年 / 160卷 / 19期
基金：
中国国家自然科学基金;
关键词：
MIMO nonlinear systems; Fuzzy control; Adaptive control; Backstepping design; State observer; Stability; SMALL-GAIN APPROACH; DYNAMICAL-SYSTEMS; NEURAL-CONTROL; ROBUST-CONTROL; STABILIZATION; DESIGN; FORMS;
D O I：
10.1016/j.fss.2009.03.008
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, a fuzzy adaptive backstepping output feedback control approach is developed for a class of multi-input and multi-output (MIMO) nonlinear systems with unmeasured states. Using fuzzy logic systems to approximate the unknown nonlinear functions, a fuzzy adaptive observer is designed for state estimation as well as system identification. Combining with the backstepping design techniques, a fuzzy adaptive output feedback control is constructed recursively. It is proved that the proposed fuzzy adaptive control approach can guarantee the semi-global uniform ultimate boundedness for all the signals and the tracking error to a small neighborhood of the origin. Simulation studies illustrate the effectiveness of the proposed approach. (C) 2009 Elsevier B.V. All fights reserved.
引用
收藏
页码：2755 / 2775
页数：21
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