Dynamic event-triggered communication based distributed optimization

This article presents distributed continuous-time algorithms with dynamic event-triggered communication, called the dynamic event-triggered algorithms, to solve a convex optimization problem in a multiagent network. Firstly, a new dynamic event-triggered communication scheme is introduced and it is shown that the optimization problem is solved and occurrence of Zeno behavior is prevented. Secondly, under the dynamic event-triggered communication implementations, both uniform and logarithmic quantized information algorithms are given to solve the optimization problem. Finally, numerical simulations are given to illustrate the effectiveness of the derived results.

Automated summary

This article presents distributed continuous-time algorithms with dynamic event-triggered communication to solve a convex optimization problem in a multiagent network, and demonstrates their effectiveness through numerical simulations.