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초록

This paper focuses on the issue of adaptive event-triggered containment control for Markov jump multi-agent systems characterized by hidden Markov jump parameters. The central objective is to design an output-feedback controller for the Markov jump multi-agent system by using an adaptive event-triggered technique that not only ensures the containment control but also optimizes the utilization of network resources. The proposed method involves the use of a hidden Markov model to express the asynchrony between the states of the original Markov chain and the constructed asynchronous controller. By devising an appropriate Lyapunov-Krasovskii functional, we obtain the adequate conditions for solving the containment control problem for the chosen multi-agent system, presented as linear matrix inequalities. Ultimately, two numerical examples are given to substantiate the efficacy of the obtained theoretical results.

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