Reliable Control for a Class of MIMO Nonlinear Systems with Time-Delay by Adaptive Iterative Learning Control

被引：0
|
作者：
Liu Heng [1 ,2 ]
Wang Yanjie [1 ,2 ]
Zhang Ruikun [1 ,2 ]
机构：
[1] Qingdao Univ Sci & Technol, Sch Math & Phys, Qingdao 266061, Peoples R China
[2] Qingdao Univ Sci & Technol, Res Inst Math & Interdisciplinary Sci, Qingdao, Peoples R China
来源：
PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年
关键词：
Iterative Learning Control; Time-varying state delays; Actuator faults; Multiple-Input Multiple-Output System;
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：
This paper presents an iterative learning control strategy for a class of multiple-input multiple-output (MIMO) nonlinearly parameterized systems with unknown time-varying state delays and actuator faults. To deal with the non-linearity caused by the unknown time-varying state delays and actuator faults in the MIMO nonlinear system, the P-type iterative learning controller with a fully-saturated parameter updating law is proposed. By constructing a composite energy function(CEF), the convergence analysis of the tracking error is given. Finally, a numerical simulation is used to verify the effectiveness and correctness of the control scheme proposed in this paper.
引用
收藏
页码：1867 / 1873
页数：7
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