Cooperative Control and Optimization of Constrained Multi-Agent Systems

Erscheinungsjahr 2027
ISBN: 978-981-9283-24-8
Verlag: Springer

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Intelligent Control and Learning Systems

This book offers a systematic, design-oriented framework for cooperative control and optimization, covering both homogeneous and heterogeneous multi-agent architectures. As multi-agent systems grow increasingly large and complex, traditional centralized control methods become impractical due to high communication overhead, vulnerability to single-point failures, and computational limitations. In response, distributed design frameworks are gaining prominence in critical applications such as autonomous vehicle fleets, smart power grids, and networked robotic systems. The content is carefully structured to lead readers from fundamental theories to advanced distributed design topics, including event-triggered mechanisms, finite-time consensus, output regulation, and optimization. Each chapter provides rigorous theoretical proofs, numerical examples, and simulation results. The key benefit is a unified, ready-to-use toolkit for designing efficient, scalable, and robust distributed algorithms. This work will primarily benefit graduate students, control engineers, and researchers specializing in distributed systems, cooperative control, and optimization.

Zielgruppe

Research

Autoren/Hrsg.

Dong, Shanling

Wang, Bo

Du, Changkun

Li, Nannan

Liu, Enjun

Inhaltsverzeichnis

Preface.- Introduction.- General Properties and Theories.- Distributed Event Triggered Consensus Control for Homogeneous Linear Multi-Agent Systems.- Distributed Dynamic Triggered Finite Time Consensus Control for Homogeneous Linear Systems.- Intermittent Cluster Output Consensus Control of Homogeneous.

Über Autor(innen)

Dr. Shanling Dong received the B.E. degree in Automation from Xidian University, Xi’an, China, in 2014, and the Ph.D. degree in in Control Science and Engineering from Zhejiang University, Hangzhou, China, in 2019. Supported by China Scholarship Council, she was a Visiting Graduate Student at University of California, Rriverside, USA, from Sep. 2017 to Sep. 2018. She was a Research Associate and Post Doctoral Research Fellow with City University of Hong Kong, Hong Kong SAR, China, from Dec. 2019 to Dec. 2020. She is currently with the College of Electrical Engineering, Zhejiang University, Hangzhou Zhejiang, China. Her research interests include marine robot control and multi-agent systems.

Dr. Bo Wang received his B.E. and Ph.D. degrees in control science and engineering from School of Automation, Beijing Institute of Technology, Beijing, China, in 2014 and 2021, respectively. He is currently an senior engineer with Intelligent Innovation Research Institute, China State Shipbuilding Corporation. Dr. Wang focuses on distributed control of multiagent system, and AI(Artificial Intelligence). His recent research interests include: distributed control, distributed optimization, applied basic research on large language models, AI for Science, and embodied intelligence, etc.

Dr. Changkun Du received the M.S. and Ph.D degrees in Control Science and Engineering, both from Beijing Institute of Technology in 2014 and 2019, respectively. From 2017 to 2018, he was a visiting scholar in the Department of Electrical and Computer Engineering, University of California, Riverside, USA. From 2020 to 2023, he worked as postdoctor at Beijing Institute of Technology, China. Since Nov. 2023, Dr. Du has been in Intelligent Science & Technology Academy Limited of CASIC as an Associate Research Fellow. Dr. Du’s research interests include application of LLM, multi-agent systems, intelligent decision-making for unmanned systems, and event-triggered control. Related results have been published in top-tier journals including IEEE TCYB?IEEE TITS?IEEE TCNS?IEEE TASE?Ocean Engineering. He is a member of IEEE. Dr. Du has hosted multiple research projects including the NSFC General Program, as well as participated in several other national programs.

Dr. Nannan Li received the Ph.D. degree in control science and engineering from School of Automation, Beijing Institute of Technology, Beijing, China, in 2020. She is currently a senior engineer with Beijing Institute of Control and Electronics Technology. Dr. Li’s research interests are mainly focused on cooperative planning and control for swarms, cooperative perception and countermeasures. Dr. Li has published more than 20 academic papers. She was awarded the First Prize of Science and Technology Advancement of CASIC.

Enjun Liu received the B.E. degree in automation in 2024 from Zhejiang University, Hangzhou, China, where he is currently working toward the Ph.D. degree in control theory and control engineering with the College of Electrical Engineering. His research interests include multiagent systems and reinforcement learning.