Event-Triggered Tracking Control of Networked Multiagent Systems

成果类型:
Article
署名作者:
Ren, Wei; Dimarogonas, Dimos, V
署名单位:
Universite Catholique Louvain; Royal Institute of Technology
刊物名称:
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN/ISSBN:
0018-9286
DOI:
10.1109/TAC.2022.3180789
发表日期:
2022
页码:
5332-5347
关键词:
Observers Multi-agent systems Information processing estimation trajectory sensors Performance evaluation event-triggered control Lyapunov functions networked multiagent systems observer design tracking control
摘要:
This article studies the tracking control problem of networked multiagent systems under both multiple networks and event-triggered mechanisms. Multiple networks are to connect multiple agents and reference systems with decentralized controllers to guarantee their information transmission, whereas the event-triggered mechanisms are to reduce the information transmission via the networks. In this article, each agent has a network to communicate with its controller and reference system, and all networks are independent and asynchronous and have local event-triggered mechanisms, which are based on local measurements and determine whether the local measurements need to be transmitted via the corresponding network. To address this scenario, we first implement the emulation-based approach to develop a novel hybrid model for the tracking control of networked multiagent systems. Next, sufficient conditions are derived and decentralized event-triggered mechanisms are designed to guarantee the desired tracking performance. Furthermore, the proposed approach is applied to derive novel results for the event-triggered observer design problem of networked multiagent systems. Finally, two numerical examples are presented to illustrate the validity of the developed results.