Output feedback adaptive fuzzy-neural sliding mode control of nonlinear systems

被引：0
|
作者：
Wang, Tao [1 ]
Tong, Shaocheng [1 ]
Xu, Jinxue [2 ]
机构：
[1] Liaoning Inst Technol, Dept Basic Math, Jinzhou 121001, Peoples R China
[2] Dalian Maritime Univ, Sch Automat & Elect Engn, Dalian 116026, Peoples R China
来源：
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2007年 / 14卷
关键词：
nonlinear system; fuzzy control; neural network; adaptive control and observer;
D O I：
10.1142/9789812790811_0001
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, an output feedback adaptive fuzzy-neural controller is developed for a class of unknown nonlinear systems. The observer-based adaptive output feedback controller and update laws to tune on-line the weighting factors of the fuzzy-neural controller. axe derived. The entire states of the nonlinear system are riot assumed to be available for measurement. Also, the unknown nonlinearities of the nonlinear systems are not restricted to the system output only. The overall adaptive control scheme guarantees that all the signals involved are bounded. Simulation results demonstrate the applicability of the proposed method.
引用
收藏
页码：1 / 8
页数：8
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