文献类型：会议论文

英文题名：Improved Distributed Optimization Algorithm for Continuous Time Multi-agent Systems With Time-Varying Cost Function

作者：Hu, Haokun Mo, Lipo

第一作者：Hu, Haokun

通信作者：Hu, HK[1]

机构：[1]Beijing Technol & Business Univ, Sch Math & Stat, Beijing 1000048, Peoples R China;[2]Guizhou Inst Technol, Key Lab Power Big Data Guizhou Prov, Guiyang 550003, Peoples R China

第一机构：Beijing Technol & Business Univ, Sch Math & Stat, Beijing 1000048, Peoples R China

通信机构：corresponding author), Beijing Technol & Business Univ, Sch Math & Stat, Beijing 1000048, Peoples R China.

会议论文集：40th Chinese Control Conference (CCC)

会议日期：JUL 26-28, 2021

会议地点：Shanghai, PEOPLES R CHINA

语种：英文

外文关键词：Distributed optimization; Finite-time consensus; Time-varying cost function

年份：2021

摘要：This paper mainly discusses the improved distributed optimization problem for first-order multi-agent system with time-varying cost function. The goal of this paper is to make all agent's states reach agreement in finite time and to minimize the global objective function. Each agent is individual and only corresponds to a gradient information. Firstly, we improve the existing distributed optimization algorithm with time-varying cost function. Secondly, by constructing some new Lyapunov functions and using the methods of convex analysis, sufficient conditions for all agents to reach consensus and to be derived to optimal solution are given, where the optimal solution is a trajectory that changes over time. Finally, Some numerical simulation examples are given to verify the effectiveness of the theoretical results.