Self-triggered model predictive control of discrete-time Markov jump linear systems

被引：1

作者：

He, Peng ^{[1
]}

Wen, Jiwei ^{[1
]}

Luan, Xiaoli ^{[1
]}

Liu, Fei ^{[1
]}

机构：

[1] Jiangnan Univ, Inst Automat, Key Lab Adv Proc Control Light Ind, Wuxi 214122, Jiangsu, Peoples R China

来源：

INTERNATIONAL JOURNAL OF CONTROL | 2023年 / 96卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Markov jump linear systems; model predictive control; self-triggered mechanism;

D O I：

10.1080/00207179.2021.2013542

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 proposes a self-triggered model predictive control algorithm for a class of discrete-time Markov jump linear systems with parametric uncertainties. A dual-mode design framework is employed to guarantee the optimality, feasibility and robust stability. The online control law is obtained by minimising the worst case of a novel cost function, which contains a self-triggered mechanism. Finally, a numerical example verifies the effectiveness and resource-saving capacity of the developed approach.

引用

页码：782 / 790

页数：9

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