Cooperative Control of Multi-Agent Systems with Uncertainties - Softcover

Zhang, Hao; Huang, Chao; Wang, Zhuping

Softcover

ISBN 10: 0443218595 ISBN 13: 9780443218590

Verlag: Elsevier, 2024

Inhaltsangabe

Cooperative Control of Multi-Agent Systems with Uncertainties proposes a hierarchical design framework that places uncertainties related to system models in the decentralized control layer (bottom layer) and the ones related to the communication (as well as physical interaction) between the agents in the distributed decision-making layer (top layer). The book shows that the two layers meet separation principles under certain conditions so that through the two-layer design framework any challenges can be resolved independently and so that design complexities will not increase with the level of uncertainties. In addition, in order to solve the problem of energy limitation of agents, the book also studies the event-driven cooperative control of multi-agent systems, which can effectively reduce energy consumption of agents and increase their operational lifespan.

• Bridges the gap for engineers and technicians in the automation industry, including theory and practice
• Provides a general framework for dealing with various uncertainties in multi-agent cooperative control problems
• Contains contributions surrounding the development of multi-agent systems control theory

Über diesen Titel

Über die Autorinnen und Autoren

Prof. Hao Zhang received her doctorate degree from Huazhong University of Science and Technology, Wuhan, China, in 2007. She held lecturer’s position at Tongji University, Shanghai, China, in 2007. In 2015, she was promoted to professor and doctoral supervisor. From 2011 to 2013, she also worked as a postdoctoral researcher at the City University of Hong Kong. She also conducted research visits at Griffith University in Australia, the University of Melbourne, and the University of Guelph in Canada. In 2018, she was selected into the Changjiang Young Scholars Program of the Ministry of Education of China. In 2019, she presided over the national fund for Outstanding Young Scholars Program.

Her main research fields include: control of networked multi-agent systems, network security, multi-sensor information fusion, etc. More than 100 of her papers have been published in influential international journals and conferences, and more than 70 papers are included by SCI. Among them, more than 30 papers have been published in IEEE Transactions such as IEEE Transactions on Automatic Control and Automatica, and 13 papers have been selected as the top 1% highly cited papers in ESI. One paper was selected as "China's 100 most influential international academic papers".

She is the editorial board member of IEEE Intelligent Transportation Systems Magazine, SCIENCE CHINA Information Sciences-Security and Safety, Intelligence & Robotics, and other international journals. She served as chairman / program member of WCICA, CCC, IEEE ICIA and other international conference associations. Her published papers have been cited by SCI for more than 1500 times, including more than 20 IEEE fellows and famous scholars in the field of systems and control, including fellows of the American Academy of Sciences and the Academy of engineering.

Dr. Chao Huang received his doctorate degree from Zhejiang University, Hangzhou, China, in 2015. He is now an assistant professor in the school of electronic and information engineering, Tongji University. He has long been engaged in the research work of cooperative control of multi-agent system. As the first author, he has published 8 relevant SCI papers in this field.

Prof. Zhuping Wang received her doctorate degree from National University of Singapore University. She is now a professor and doctoral supervisor in the school of electronic and information engineering, Tongji University. She has long been engaged in the research of advanced control theory and its application In the fields of multi-agent cooperative control, network security, intelligent vehicle control, etc., 30 SCI papers such as IEEE Trans series and Automatica have been published, and more than 10 national invention patents have been applied. She won the first prize of Shanghai Science and Technology Progress Award and the second prize of Shanghai Natural Science Award.

Huaicheng Yan received his B.Sc. degree in automatic control from Wuhan University of Technology, China, in 2001, and his Ph.D. degree in control theory and control engineering from Huazhong University of Science and Technology, China, in 2007. From 2007 to 2009, he was a Postdoctoral Fellow with the Chinese University of Hong Kong. Currently, he is a Professor with the School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China. He has published over 300 papers in the peer-reviewed international journals. He is an associate editor for IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Fuzzy Systems, International Journal of Robotics and Automation, IEEE Open Journal of Circuits and Systems, etc. His research interests include networked control systems, multi-agent systems, stochastic systems and robotics

Von der hinteren Coverseite

Multi-agent coordination is an emerging engineering It has been inspired by the observations and descriptions of collective behavior in nature, such as fish schooling, birds flocking and insects swarming. The advantages of multi-agent coordination include: it can reduce cost and complexity from hardware platform to software and algorithms; in addition, multi-agent systems are capable of many tasks which could not be effectively performed by a single-robot system, for example, the surveillance task.

Cooperative Control of Multi-Agent Systems with Uncertainties proposes a hierarchical design framework that places uncertainties related to system models in the decentralized control layer (bottom layer) and the ones related to the communication (as well as physical interaction) between the agents in the distributed decision-making layer (top layer). The book shows that the two layers meet the separation principle under certain conditions, so that through the two-layer design framework, any challenges can be resolved independently, and the design complexity will not increase with the level of uncertainties. In addition, in order to solve the problem of energy limitation of agents, this book also studies the event-driven cooperative control of multi-agent systems, which can effectively reduce the energy consumption of agents and increase their operational life span.

Details zur Ausgabe

• Verlag: Elsevier
• Erscheinungsdatum: 2024
• Sprache: Englisch
• ISBN 10: 0443218595
• ISBN 13: 9780443218590
• Einband: Tapa blanda
• Anzahl der Seiten: 298
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Barbara Criscuolo; b.criscuolo@lswr.it; ; Via Spadolini, 7; Milano; 20141; Italien