Sampled-data based distributed convex optimization with event-triggered communication |
| |
Authors: | Jiayun Liu Weisheng Chen Hao Dai |
| |
Affiliation: | 1.School of Mathematics and Statistics,Xidian University,Xian,China;2.School of Aerospace Science and Technology,Xidian University,Xian,China |
| |
Abstract: | This paper studies the distributed convex optimization problem for multi-agent systems over undirected and connected networks. Motivated by practical considerations, we propose a new distributed optimization algorithm with event-triggered communication. The proposed event detection is decentralized, sampled-data and not requires periodic communications among agents to calculate the threshold. Based on Lyapunov approaches, we show that the proposed algorithm is asymptotically converge to the unknown optimizer if the design parameters are chosen properly. We also give an upper bound on the convergence rate. Finally, we illustrate the effectiveness of the proposed algorithm by a numerical simulation. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|