Event-Triggered Distributed Continuous-Time Optimization Based on Multi-Agent Systems
Min Hu, Qiang Lü, Ligang Pan, Dawei Shen · 2018
This paper concentrates on an event-triggered distributed continuous-time optimization question for the multiagent systems. Firstly, a distributed continuous-time optimization method is proposed to solve the optimization problems. Each agent knows the corresponding convex function of their own and needs to communicate with each other through an undirected communication topology. Secondly, we give the event-triggered communication scheme during the process of optimization. It has one main feature, that is, whether or not the state information of agents will be transmitted, it is decided on the event-triggered condition. Compared with continuous time information transmission, the event-triggered methods can not only reduce the communication burdens, but also decrease the update times of control signals. Based on the proposed optimization algorithm and communication scheme, all agents cooperate with each other and at last reach consensus. Finally, to show the effectiveness of the method, several simulation examples and analysis are given.