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

页码：166 / 170

页数：5

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