文献类型：会议论文

英文题名：Optimal Mean-square Consensus for Discrete-Time Linear Systems with Random Input Gains

作者：Hu, Qianyi[1];Zhao, Zhiyun[1]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Smart Mfg Energy Chem Proc, Shanghai, Peoples R China

会议论文集：14th Asian Control Conference (ASCC)

会议日期：JUL 05-08, 2024

会议地点：Dalian, PEOPLES R CHINA

语种：英文

外文关键词：Optimal consensus; mean-square consensus; multi-agent systems; discrete-time linear system

摘要：This paper studies the optimal consensus problem for linear multi-agent systems with random input gains, which means there exists a random white noise imposed on the control input of each follower agent. An optimal state feedback control protocol based on linear quadratic regulation (LQR) optimal control theory is constructed for each follower agent, such that the mean-square consensus can be achieved. We also show that these control protocols guarantee the global optimality consensus. A numerical example is provided to validate the theoretical result.