Fixed-time Distributed Optimization for Multi-Agent Systems Using an Event-Triggered Communication Scheme
【摘要】：In this paper, a problem of distributed optimization is investigated for multi-agent systems. The event-triggered communication scheme and fixed-time control method are used. First, for the aim of reducing the consumption of hardware resources and improving the communication efficiency of multi-agent systems, an event-triggered communication scheme is proposed. The scheme only depends on the states of each agent and its neighbors. Second, the convergence of fixed-time distributed optimization algorithm using event-triggered communication scheme is proved by Lyapunov theory. At last, the proposed approach is verified by simulation. The results are given and clearly show the effectiveness of the fixed-time distributed optimization algorithm using the event-triggered communication scheme for multi-agent systems.