Model-Based Dynamic Event-Triggered Control for Systems With Uncertainty: A Hybrid System Approach
Kun‐Zhi Liu, Andrew R. Teel, Xi‐Ming Sun, Xuefang Wang
Abstract
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.