Adaptive Output Feedback Stabilization for a Class of Delayed Systems

被引：0
|
作者：
Zhu, Qing [1 ]
Zhang, Tianping [1 ]
Yao, Xiang [1 ]
Ding, Wei [1 ]
Sun, Quan [1 ]
机构：
[1] Yangzhou Univ, Dept Automat, Yangzhou, Jiangsu, Peoples R China
来源：
2010 INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT (CCCM2010), VOL II | 2010年
关键词：
Adaptive stabilization; Output feedback; Neural network; Input delay; SLIDING MODE CONTROL; NONLINEAR-SYSTEMS; NEURAL-CONTROL; INPUT;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
An adaptive output feedback control scheme combined with backstepping and neural network is proposed for the stabilization of a class of nonlinear systems with input delay. Neural networks are employed to estimate the unknown continuous functions. The control scheme ensures that the closed-loop system is semi-globally uniformly ultimately bounded (SGUUB). The system out is proved to be bounded and ultimately converges to an adequately small compact set. The feasibility is investigated by a simulation example.
引用
收藏
页码：12 / 15
页数：4
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