文章基本信息

标题：Sparsest Minimum Multiple-Cost Structural Leader Selection ∗
本地全文：下载
作者：Sérgio Pequito ; James Svacha ; George J. Pappas 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：22
页码：144-149
DOI：10.1016/j.ifacol.2015.10.321
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, we address the problem of leader selection in a network of agents when the input signal can originate from different sources (for instance communication/control towers) and incur different costs. We assume that each agent's state is defined by a scalar that evolves according to linear dynamics involving the states of its neighbors and its own state. We propose an algorithm to determine the minimum number of agents that should behave as leaders (i.e., agents whose states serve as references (or inputs) to the remaining agents-the followers), while incurring the lowest cost. Finally, illustrative examples using the main results of the paper are provided.
关键词：KeywordsGraph-Based Methods for Networked SystemsMulti-Agent SystemsLeader-SelectionStructural Controllability