Event-Triggered Consensus Control for Linear Multi-Agent Systems

Abstract

For the consensus problem of multi-agent systems with linear dynamics, distributed event-triggered control strategies are put forward, which can decrease the frequency of information transmissions between agents and the number of control inputs of each agent. In the case that the agent states can be obtained or outputs can be obtained, distributed consensus protocols are designed based on event-triggered state information and event-triggered observer information, respectively. The consensus problem is converted into the stability problem by model transformation. Sufficient conditions for multi-agent systems to achieve consensus are obtained. Meanwhile, it is theoretically proved that the event-triggering conditions will exclude Zeno behavior. Simulation examples verify the effectiveness of obtained results.