书目名称 | Consensus Over Switching Network Topology: Characterizing System Parameters and Joint Connectivity |
编辑 | Jiahu Qin,Qichao Ma,Yu Kang |
视频video | |
概述 | Deals with the consensus for networked agents ranging from double integrators to generic linear systems.Characterizes how agent parameters and switching network topology jointly influence the collecti |
丛书名称 | Studies in Systems, Decision and Control |
图书封面 |  |
描述 | .This book aims to extend existing works on consensus of multi-agent systems systematically. The agents to be considered range from double integrators to generic linear systems. The primary goal is to explicitly characterize how agent parameters, which reflect both self-dynamics and inner coupling of each agent, and switching network topologies jointly influence the collective behaviors. A series of necessary and/or sufficient conditions for exponential consensus are derived. .The contents of this book are as follows. Chapter 1 provides the background and briefly reviews the advances of consensus of multi-agent systems. Chapter 2 addresses the consensus problem of double integrators over directed switching network topologies. It is proven that exponential consensus can be secured under very mild conditions incorporating the damping gain and network topology. Chapter 3 considers generic linear systems with undirected switching network topologies. Necessary and sufficient conditions on agent parameters and connectivity of the communication graph for exponential consensus are provided. Chapter 4 furthers the study of consensus for multiple generic linear systems by considering directe |
出版日期 | Book 2022 |
关键词 | Multi Agent Systems; Linear System Theory; Matrix Theory; Networked Agents; Double Integrators; Linear Ag |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-85657-1 |
isbn_softcover | 978-3-030-85659-5 |
isbn_ebook | 978-3-030-85657-1Series ISSN 2198-4182 Series E-ISSN 2198-4190 |
issn_series | 2198-4182 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |