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Cooperative Control of Nonlinear Multiagent Systems
ISBN/GTIN

Cooperative Control of Nonlinear Multiagent Systems

Passivity-Based and Non-Passivity-Based Approaches
TaschenbuchKartoniert, Paperback
EUR150,00

Produktbeschreibung

Cooperative Control for Nonlinear Multiagent Systems: Passivity-Based and Non-Passivity-Based Approaches focuses on the cooperative control of nonlinear multiagent systems containing passivity-based or non-passivity-based consensus, lag consensus, and formation control of multiagent systems. The book provides professional and convenient guidance for those who want to know basic knowledge, advancements, and processes for designing and analyzing cooperative control for nonlinear multiagent systems.

Currently, there are a lack of reference titles that systematically introduce students, researchers, and technologists to the backgrounds, developments, and designs protocols for cooperative control (contains passivity-based or not passivity-based consensus, lag consensus, formation control) of nonlinear multiagent systems.
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Details

ISBN/GTIN978-0-443-27326-1
ProduktartTaschenbuch
EinbandKartoniert, Paperback
FormatTrade Paperback (USA)
Erscheinungsdatum01.11.2024
SpracheEnglisch
MasseBreite 152 mm, Höhe 229 mm
Artikel-Nr.27739731
KatalogLibri
Datenquelle-Nr.A47754696
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Autor/in

Jin Liang Wang (Senior Member, IEEE) received a Ph.D. degree in control theory and control engineering from the School of Automation Science and Electrical Engineering, Beihang University, China, in January 2014. From 2014 to 2020, he has lectured and served as professor at the School of Computer Science and Technology, Tiangong University, China. He has authored 3 English academic monographs and over 40 SCI-indexed journal papers, which have been cited more than 1500 times. 11 first author papers were recognized by the ESI Highly Cited Papers, and 1 first author paper was selected as the ESI Hot Paper. His current research interests include synchronization, passivity, consensus, formation control, fractional-order systems, complex networks, coupled reaction-diffusion neural networks, and multiagent systems. Prof. Wang was a Managing Guest Editor for the Special Issue on Dynamical Behaviors of Coupled Neural Networks with Reaction-Diffusion Terms: Analysis, Control and Applications in Neurocomputing. He also serves as an Associate Editor for Neurocomputing, the International Journal of Adaptive Control and Signal Processing, and Complex & Intelligent Systems.

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