Optimal tracking control for discrete-time modal persistent dwell time switched systems based on Q-learning

被引：1

作者：

Zhang, Xuewen ^{[1
]}

Wang, Yun ^{[1
]}

Xia, Jianwei ^{[2
]}

Li, Feng ^{[1
]}

Shen, Hao ^{[1
]}

机构：

[1] Anhui Univ Technol, Sch Elect & Informat Engn, Maanshan 243002, Peoples R China

[2] Liaocheng Univ, Sch Math Sci, Liaocheng, Peoples R China

来源：

OPTIMAL CONTROL APPLICATIONS & METHODS | 2023年 / 44卷 / 06期

基金：

中国国家自然科学基金;

关键词：

linear quadratic tracking control; modal persistent dwell time; Q-learning; switched systems; ADAPTIVE OPTIMAL-CONTROL; LINEAR-SYSTEMS; STABILITY ANALYSIS; SYNCHRONIZATION; STABILIZATION; NETWORKS; DESIGN; SCHEME;

D O I：

10.1002/oca.3040

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Based on the Q-learning, this paper investigates the tracking problem for linear discrete-time modal persistent dwell time switched systems. The modal persistent dwell time switching rule is introduced to coordinate the switching conditions of each switching subsystems. Moreover, two algorithms are given to realize the optimization of switched systems. Then, the stability and convergence are proved. Finally, a numerical simulation example and a practical example with an electro-hydraulic system are given to verify the effectiveness of the proposed approach.

引用

页码：3327 / 3341

页数：15

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