Distributed event-triggered optimization for multi-agent systems with disturbance rejection
Zhenhua Deng, Yiguang Hong · 2016
In this paper, distributed optimization problem is investigated for continuous-time multi-agent systems with external disturbance and discrete-time communication. A distributed optimization algorithm with an event-triggered strategy is designed, in order to reduce the communication cost. The proposed internal-model-based algorithm is proved to be effective and free of Zeno behavior with exponential convergence rate. Moreover, numerical simulation results also verify its effectiveness.