Hybrid Event-Triggered Intermittent Control for Nonlinear Multi-Agent Systems
Hongjing Liang, Zhenyu Chang, Choon Ki Ahn
Abstract
A novel hybrid event-triggered intermittent control problem for a class of nonlinear multi-agent systems is addressed. The system dynamics are reconstructed to describe the nonlinear multi-agent systems via the intermittent control method and a hybrid event-triggered mechanism. This study represents the first attempt at designing a control time sequence determined by the hybrid event-triggered mechanism to replace the predesigned control time sequence. Moreover, a consensus tracking control strategy is presented for the reconstructed multi-agent systems, and the results are extended to the case involving multiple leaders. The control strategy can solve the problems associated with the artificial selection of the control time sequence and unnecessary control input consumption. There are two simulation examples presented to demonstrate the effectiveness and feasibility of the control strategies.