Finite-Time Distributed Event-Triggered Consensus Control for General Linear Multi-Agent Systems
Changkun Du, Xiangdong Liu, Haikuo Liu, Pingli Lu
Abstract
Changkun Du, Xiangdong Liu, Haikuo Liu, Pingli Lu
Abstract
This paper considers the finite-time distributed event-triggered consensus with fully continuous communication free for multi-agent systems with general linear dynamics under a directed graph. By employing an external dynamic threshold, a novel distributed event-triggered consensus controller is proposed to achieve consensus in finite time. It should be emphasized that continuous communication is not required in both controller update and triggering condition detecting by this approach, which means fully continuous communication free. In this strategy, the triggering instants is reduced significantly and the high frequency triggering is restrained. Additionally, Zeno behavior is almost excluded in the framework of event-triggered finite-time consensus. Finally, numerical simulations are given to illustrate the theoretical results.
OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper considers the finite-time distributed event-triggered consensus with fully continuous communication free for multi-agent systems with general linear dynamics under a directed graph. By employing an external dynamic threshold, a novel distributed event-triggered consensus controller is proposed to achieve consensus in finite time. It should be emphasized that continuous communication is not required in both controller update and triggering condition detecting by this approach, which means fully continuous communication free. In this strategy, the triggering instants is reduced significantly and the high frequency triggering is restrained. Additionally, Zeno behavior is almost excluded in the framework of event-triggered finite-time consensus. Finally, numerical simulations are given to illustrate the theoretical results.
Key concepts: Consensus, Multi-agent system, Computer science, Control theory (sociology), Controller (irrigation), Zeno's paradoxes, Directed graph, Event (particle physics)