Observer-based Direct Adaptive Fuzzy Control of Uncertain Nonlinear Systems and Its Applications

被引：0
|
作者：
Liu, Yan-Jun [1 ]
Tong, Shao-Cheng [1 ]
Wang, Wei [2 ]
Li, Yong-Ming [1 ]
机构：
[1] Liaoning Univ Technol, Dept Math & Phys, Jinzhou 121001, Liaoning, Peoples R China
[2] Dalian Univ Technol, Res Ctr Informat & Control, Dalian 116023, Peoples R China
来源：
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2009年 / 7卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Adaptive fuzzy control; nonlinear systems; uncertainties; FEEDBACK-CONTROL; TRACKING CONTROL; SISO SYSTEMS; DESIGN;
D O I：
10.1007/s12555-009-0420-4
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A direct adaptive fuzzy control algorithm is developed for a class of uncertain SISO nonlinear systems. In this algorithm, it doesn't require to assume that the system states are measurable. Therefore, it is needed to design an observer to estimate the system states. Compared with the numerous alternative approaches with respect to the observer design, the main advantage of the developed algorithm is that on-line computation burden is alleviated. It is proven that the developed algorithm can guarantee that all the signals in the closed-loop system are uniformity ultimately bounded and the tracking error converges to a small neighborhood around zero. The simulation examples validate the feasibility of the developed algorithm.
引用
收藏
页码：681 / 690
页数：10
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