Distributed consensus of networked markov jump multi-agent systems with mode-dependent event-triggered communications and switching topologies
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This paper investigates the distributed leaderless consensus problem of networked Markov jump multi-agent systems with mode-dependent switching topologies. Specifically, a novel mode-dependent sampling and event-triggered communication strategy is proposed to reduce the network burden with less conservatism. Based on model transformation and constructing the mode-dependent Lyapunov-Krasovskii functional, sufficient consensus criteria are first established. Then, the desired event triggering function parameters and the controller gains are designed in terms of linear matrix inequalities (LMIs). In the end, an illustrative example is provided to verify the effectiveness of our proposed consensus method.
KeywordsDistributed consensus Markov jump multi-agent systems Mode-dependent event-triggered communication Mode-dependent switching topologies
This work was supported by the National Natural Science Foundation of China under Grant 61703038 and 61627808.
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Conflict of interests
The authors declare that they have no conflict of interest.