Adaptive Learning Control for Bilinear Parametric Time-Varying Systems with Unknown Time-Varying Delays

被引：0
|
作者：
Sun, Yunping [1 ]
Wei, Feng [2 ]
Li, Jinxu [1 ]
Zheng, Pingan [1 ]
机构：
[1] Yunnan Normal Univ, Sch Informat, Kunming, Peoples R China
[2] Xian Univ Technol, Sch Sci, Xian, Peoples R China
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEM SCIENCE AND ENGINEERING (ICSSE) | 2014年
基金：
中国国家自然科学基金;
关键词：
bilinear parametric time-varying systems; adaptive learning control; time-varying delay; differential-difference coupled-type adaptive law; Lyapunov-Krasovskii energy function; NONLINEAR-SYSTEMS; REPETITIVE CONTROL; NEURAL-NETWORKS; DISCRETE;
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：
An adaptive learning control strategy is developed for a class of bilinear parametric time-varying systems with mixed unknown time-varying and time-invariant parameters and unknown time-varying delay. The proposed control law includes a differential-difference coupled-type adaptive law used to estimate the unknown time-varying parameters and an adaptive repetitive learning control. By constructing a Lyapunov-Krasovskii energy function, we prove the stability of the closed loop system and the asymptotic convergence of the tracking error. The simulation results, for a bilinear parametric time-varying system confirm the effectiveness of the proposed control scheme.
引用
收藏
页码：166 / 170
页数：5
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