2018/09/06 by Yang-Yang Qian, Yang‐Yang Qian, Lu Liu +1 · 323 citations
Computer Science · Engineering · Mathematics · #Adaptive control #Artificial intelligence #Computer science #Consensus #Control (management) #Control theory (sociology) #Distributed Control Multi-Agent Systems #Distributed computing #Event (particle physics) #Mathematics #Mechanism (biology) #Multi-agent system #Neural Networks Stability and Synchronization #Stability and Control of Uncertain Systems #Zeno's paradoxes
paper · doi:10.1109/tac.2018.2868997
published in IEEE Transactions on Automatic Control 64(6), 2606-2613 (Institute of Electrical and Electronics Engineers)
openalex publication_date 2018/09/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
This paper investigates the output consensus problem for heterogeneous linear multi-agent systems via event-triggered control. By introducing a dynamic compensator for each agent, a fully distributed event-triggered control strategy with an adaptive event-triggering mechanism is proposed. It is shown that under the proposed control strategy, all agents asymptotically achieve output consensus with intermittent communication in a fully distributed manner. Moreover, with the proposed event-triggering mechanism, Zeno behavior is strictly excluded for each agent. Compared with existing mechanisms, the proposed event-triggering mechanism is independent of any global information and avoids the continuous monitoring issue. Finally, a numerical example is provided to illustrate the effectiveness of the proposed event-triggered control strategy.