International Journal of Control · 2013 · 237 citations · 26 references
ComputingAutonomous SystemsCommunicationDecentralizationDistributed SystemsSystem DynamicsConsensus AlgorithmsDecentralized ControlDistributed ConsensusDistributed ControlDistributed CoordinationMulti-agent SystemsBroadcastingConsensus ControlConsensus In Multi-agent SystemsEvent-triggered ConsensusEvent-triggered ControlEvent-triggered SystemsInterarrival TimesMulti-agent Consensus
The paper investigates event-triggered control for multi‑agent systems with first‑order integrator dynamics. It extends event‑triggered consensus to scenarios with limited, non‑continuous peer‑to‑peer communication and quantised state exchanges. A decentralized control law and communication policy are proposed, where communication events depend solely on local state errors, requiring no global sampling period or synchronous broadcasting. The method guarantees strictly positive inter‑event times for each agent.
This note studies event-triggered control of Multi-Agent Systems (MAS) with first-order integrator dynamics. It extends previous work on event-triggered consensus by considering limited communication capabilities through strict peer-to-peer non-continuous information exchange. The approach provides both a decentralised control law and a decentralised communication policy. Communication events require no global information and are based only on local state errors; agents do not require a global sampling period or synchronous broadcasting as in sampled-data approaches. The proposed decentralised event-triggered control technique guarantees that the inter-event times for each agent are strictly positive. Finally, the ideas in this note are used to consider the practical scenario where agents are able to exchange only quantised measurements of their states.
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