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This paper studies the consensus problem of a first-order multi-agent system by using event-based strategy. For each agent, both of the control law and the triggering function utilize estimated combinational measurement, which is calculated based on the combinational measurement that sampled at the agent's event instant. The distributed triggering function is developed to compute these instants. Only...
This paper studies the consensus problem of a multi-agent system with nonlinear dynamics by using event-triggered strategy. Event-triggered control laws together with triggering functions are proposed to reduce controller updating and information transmission. The event-triggered control laws are segmental continuous such that these laws only update at irregular event instants. The triggering functions...
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