Event-triggered consensus for double-integrator multi-agent systems
Xiucheng Shi, Lulu Li, Jianquan Lu, Jinling Liang, Jinde Cao
Abstract
Xiucheng Shi, Lulu Li, Jianquan Lu, Jinling Liang, Jinde Cao
Abstract
In this paper, event-triggered control strategies are proposed for the consensus problem of first-order and second-order multi-agent system. The control law be updated only when the event-triggered conditions are satisfied. It is shown that the proposed control strategies guarantees the average consensus of the system. Moreover, the inter-event intervals are lower-bounded by a positive constant. The results are illustrated through simulation examples.
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In this paper, event-triggered control strategies are proposed for the consensus problem of first-order and second-order multi-agent system. The control law be updated only when the event-triggered conditions are satisfied. It is shown that the proposed control strategies guarantees the average consensus of the system. Moreover, the inter-event intervals are lower-bounded by a positive constant. The results are illustrated through simulation examples.
Key concepts: Double integrator, Multi-agent system, Bounded function, Consensus, Event (particle physics), Integrator, Computer science, Constant (computer programming)