Adaptive Consensus Control of Linear Multiagent Systems With Dynamic Event-Triggered Strategies
By Wangli He, Bingbing Xu, Qing-Long Han, Feng Qian. IEEE Transactions on Cybernetics, 2020
443 citations recorded by the source corpus.
This paper is concerned with event-triggered consensus of general linear multiagent systems (MASs) in leaderless and leader-following networks, respectively, in the framework of adaptive control. A distributed dynamic event-triggered strategy is first proposed, in which an auxiliary parameter is introduced for each agent to regulate its threshold dynamically. The time-varying threshold ensures less triggering instants, compared with the traditional static one. Then under the proposed event-triggered strategy, a distributed adaptive consensus protocol is formed including the updating law of the coupling strength for each agent. Some criteria are derived to guarantee leaderless or leader-following consensus for MASs with general linear dynamics, respectively. Moreover, it is proved that the triggering time sequences do not exhibit Zeno behavior. Finally, the effectiveness of the proposed dynamic event-triggered control mechanism combined with adaptive control is validated by two examples.
Subfields: Computer Networks and Communications, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/ac52f6f5905c61c90b3550b645061b6e16dee354
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Citations in the corpus
- Fixed/Preassigned-Time Synchronization of Complex Networks via Improving Fixed-Time Stability (2020, background): “Actually, many kinds of discontinuous strategies, including intermittent control [24] and event-triggered control [41], [42], have been extensively utilized at present to study synchronization or consensus.”