Adaptive Backstepping Control for a Class of Uncertain Chaotic Systems in Non-strict Form

被引：1

作者：

Chen, Qiang ^{[1
]}

Ren, Xuemei ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Automat, Beijing, Peoples R China

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 2 | 2009年

关键词：

chaotic system; adaptive control; backstepping control;

D O I：

10.1109/ICICISYS.2009.5358354

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 proposes an adaptive backstepping control approach for the tracking of a class of uncertain chaotic systems in non-strict form Many well-known chaotic systems are shown to be transformed into this feedback form Adaptive backstepping scheme combining with a modification method is designed to control chaos and estimate uncertain parameters simultaneously All signals in the closed chaotic systems are guaranteed to be uniformly ultimately bounded and the system output can be controlled to track a desired orbit asymptotically Numerical simulations are given to verify the feasibility and effectiveness of the proposed scheme

引用

页码：397 / 401

页数：5

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