Decentralized Adaptive Dynamic Surface Control of Nonlinear Systems with Output Constraints

被引：0
|
作者：
Ge Jiwei [1 ]
Zhang Tianping [1 ]
Xia Xiaonan [1 ]
Xia Meizhen [1 ]
机构：
[1] Coll Informat Engn, Dept Automat, Yangzhou 225127, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年
关键词：
Unmodeled Dynamics; Output Constraints; Dynamic Surface Control (DSC); Integral Barrier Lyapunov Function (iBLF); BARRIER LYAPUNOV FUNCTION; STATE CONSTRAINTS; FEEDBACK CONTROL; INPUT;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Using modified dynamic surface control (DSC) method and the approximation capability of neural networks, decentralized adaptive DSC is developed for a class of pure-feedback nonlinear interconnected systems with state unmodeled dynamics and output constraints. Dynamic signal is introduced to deal with the dynamic uncertainty produced by unmodeled dynamics. The integral barrier Lyapunov function (iBLF) is used to handle the output constraints. By theoretical analysis, it is shown that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded, and the output constraints are not violated.
引用
收藏
页码：709 / 714
页数：6
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