Consensus of Heterogeneous Multi-agent Systems With Inconsistent Markov Jump Based on Event-triggered Strategy
摘要
This paper mainly addresses the consensus of heterogeneous multi-agent systems (HMASs) under inconsistent Markov, which comprise agents with two different dynamic properties. Inconsistency denotes that the switching of the modes in agents with different dynamic characteristics follows different Markov jump laws. With the aim of reducing the message communication burden, a consensus controller with event-triggered strategy is devised. Furthermore, to avoid Zeno behavior, the considered event-triggered mechanism is dependent on sampleddata. Then, according to the Lyapunov function, Kronecker product and inequality technique, sufficient conditions to ensure that HMASs achieve consensus are obtained. Finally, a simulation is performed to show the effectiveness of the presented theory.