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

• 成果类型: Article
• 署名作者: Liu, Kun-Zhi; Teel, Andrew R.; Sun, Xi-Ming; Wang, Xue-Fang
• 署名单位: Dalian University of Technology; University of California System; University of California Santa Barbara
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2020.2979788
• 发表日期: 2021
• 页码: 444-451
• 关键词: Protocols; Mathematical model; DELAYS; Linear systems; control systems; asymptotic stability; data models; Dynamic event-triggered control; hybrid systems; model-based control

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.