An Event-Triggered Consensus Control with Sampled-Data Mechanism for Multi-agent Systems
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文摘
In this paper, an event-triggered control strategy with sampled-data mechanism is proposed to address the consensus problem for multi-agent system. The states of each agent are obtained periodically instead of continuous detection by using sampling technology. Rather than traditional Lyapunov technique, the system stability is analyzed by introducing a disagreement vector whose convergence is proved by contraction mapping, and a necessary condition about the upper bound of sampling period is derived under which systems could achieve consensus. Simulations results are presented to show the effectiveness of proposed event-triggered control strategy with sampled data mechanism compared to the basic one.
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