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

被引：2
|
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
收藏
页码：782 / 790
页数：9
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