Model-Based Dynamic Event-Triggered Control for Systems With Uncertainty: A Hybrid System Approach

被引:59
作者
Liu, Kun-Zhi [1 ,2 ]
Teel, Andrew R. [2 ]
Sun, Xi-Ming [1 ]
Wang, Xue-Fang [1 ,2 ]
机构
[1] Dalian Univ Technol, Key Lab Intelligent Control & Optimizat Ind Equip, Minist Educ, Dalian 116024, Peoples R China
[2] Univ Calif Santa Barbara, Ctr Control Dynam Syst & Computat, Santa Barbara, CA 93106 USA
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
Protocols; Mathematical model; Delays; Linear systems; Control systems; Asymptotic stability; Data models; Dynamic event-triggered control; hybrid systems; model-based control; STABILIZATION; STABILITY; CONSENSUS; GAIN;
D O I
10.1109/TAC.2020.2979788
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, the event-triggered control problem for linear systems with uncertainties is addressed. A model-based dynamic event-triggered transmission strategy is proposed for linear systems, and for systems that can be decomposed into interconnected subsystems, a distributed model-based dynamic event-triggered transmission strategy is also proposed with transmission delays and transmission protocols in the networks. The whole systems are modeled into a hybrid system framework by introducing storage variables. Using stability theorems of hybrid systems, explicit designs of the transmission strategies are presented and asymptotic stability is guaranteed. Finally, an example is given to show that the transmissions are significantly reduced by the transmission strategy in this article compared with the transmission strategy by zero-order-hold.
引用
收藏
页码:444 / 451
页数:8
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