文献类型：期刊文献

英文题名：Distributed Localization and Formation Control of Multi-Agent Systems with Local Sensing Information

作者：Lv, Yunkai[1,2]; Yan, Huaicheng[1]; Wang, Meng[1]; Li, Zhichen[1]; Zhang, Hao[3,4]

机构：[1] Key Laboratory of Smart Manufacturing in Energy Chemical Process of the Ministry of Education, School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China; [2] Key Laboratory of System Control and Information Processing of the Ministry of Education, Shanghai Jiao Tong University, Shanghai, China; [3] College of Electronic and Information Engineering, Department of Control Science and Engineering, Shanghai Key Laboratory of Wearable Robotics and Human-Machine Interaction, Tongji University, Shanghai, China; [4] Shanghai Institute of Intelligent Science and Technology, National Key Laboratory of Autonomous Intelligent Unmanned Systems and Frontiers Science Center for Intelligent Autonomous Systems, Ministry of Education, Shanghai, China

年份：2025

起止页码：1

外文期刊名：Distributed Localization and Formation Control of Multi-Agent Systems with Local Sensing Information

收录：EI(收录号：20255119757529)

语种：英文

外文关键词：System stability

摘要：This book mainly focuses on the key technologies and important issues related to localization estimation and formation control for networked multi-agent systems. Chapter 1 introduces the concepts of multi-agent systems, fundamental issues in localization and formation, research progress both at home and abroad, and the theory of system stability. Chapters 2–8 present research results on distributed localization estimation under conditions such as random deployment, non-ideal channels, random noise, varying-trajectory length, sensor multiplicative failure, and local bearing measurement. Chapter 9 focuses on integrated research progress in localization estimation and formation control for multi-agent systems under local perception conditions. The book demonstrates the effectiveness and superiority of the theoretical methods through simulation and physical examples. ? 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.