Adaptive DSC of stochastic non-linear systems with input unmodelled dynamics

被引：6
|
作者：
Xia, Meizhen [1 ]
Zhang, Tianping [1 ]
Yang, Yuequan [1 ]
Zhu, Jiaming [1 ]
机构：
[1] Yangzhou Univ, Dept Automat, Coll Informat Engn, Yangzhou 225127, Jiangsu, Peoples R China
来源：
IET CONTROL THEORY AND APPLICATIONS | 2017年 / 11卷 / 06期
基金：
中国国家自然科学基金;
关键词：
adaptive control; nonlinear control systems; stochastic systems; closed loop systems; adaptive DSC; stochastic nonlinear systems; input unmodelled dynamics; adaptive dynamic surface control; adaptive DSC method; state unmodelled dynamics; normalisation signal; nonlinear transformation; modified DSC; closed-loop system; OUTPUT-FEEDBACK CONTROL; BACKSTEPPING CONTROLLER-DESIGN; NEURAL-NETWORK CONTROL; UNKNOWN DEAD-ZONE; SURFACE CONTROL; STABILIZATION;
D O I：
10.1049/iet-cta.2016.1329
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An adaptive dynamic surface control (DSC) method is proposed for a class of stochastic non-linear systems with input and state unmodelled dynamics in this paper. A normalisation signal is introduced to restrict the input unmodelled dynamics. By introducing a non-linear transformation, modified DSC is extended and applied to a class of more general stochastic non-linear systems. By theoretical analysis, it is shown that all the signals in the closed-loop system are bounded in probability. Two simulation examples further demonstrate the effectiveness of the proposed control approach.
引用
收藏
页码：781 / 790
页数：10
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