Event-Triggered Tracking Control of Networked Multiagent Systems
2022 (English)In: IEEE Transactions on Automatic Control, ISSN 0018-9286, E-ISSN 1558-2523, Vol. 67, no 10, p. 5332-5347Article in journal (Refereed) Published
Abstract [en]
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.
Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2022. Vol. 67, no 10, p. 5332-5347
Keywords [en]
Observers, Multi-agent systems, Information processing, Estimation, Trajectory, Sensors, Performance evaluation, Event-triggered control, Lyapunov functions, networked multiagent systems, observer design, tracking control
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-320506DOI: 10.1109/TAC.2022.3180789ISI: 000861438100025Scopus ID: 2-s2.0-85131763967OAI: oai:DiVA.org:kth-320506DiVA, id: diva2:1705569
Note
QC 20221024
2022-10-242022-10-242022-10-24Bibliographically approved