文献类型：期刊文献

英文题名：Optimal control nodes selection for consensus in multi-agent systems

作者：Yang, Wen[1]; Wang, Xiaofan[2]; Shi, Hongbo[1]

机构：[1] Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China; [2] Department of Automation, Shanghai Jiao Tong University, Shanghai, 200240, China

年份：2014

卷号：19

起止页码：11697

外文期刊名：IFAC Proceedings Volumes (IFAC-PapersOnline)

收录：EI(收录号：20152200885092)

语种：英文

外文关键词：Automation - Combinatorial optimization - Convex optimization - Costs

摘要：In a resource limited multi-agent system, it is of practical importance to select a fraction of nodes (agents) to provide control inputs such that consensus can be achieved with optimized performance in terms of network cost and/or convergence speed. In this paper, we investigate the problem of how to select control nodes so as to minimize the network cost, where the control nodes are selected at the beginning and will be fixed all the time. This problem can be transformed to a combinatorial optimization problem, and further relaxed to a convex optimization problem with reweighted l1 norm. We propose a suboptimal algorithm to solve the convex optimization problem. Finally, we offer several numerical examples to illustrate the efficiency of the proposed strategies, and investigate the relationship how the degrees of control nodes will influence network cost and convergence speed. ? IFAC.