Overview
- Focuses on some recent results on passivity of complex dynamical networks
- Considers new complex dynamical network models with multiple weights
- Is easy for readers to understand the passivity of complex dynamical networks
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Table of contents (10 chapters)
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Front Matter
Keywords
About this book
Authors and Affiliations
About the authors
Jin-Liang Wang received the Ph.D. degree in control theory and control engineering from the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China, in January 2014.
In January 2014, he joined the School of Computer Science and Technology, Tiangong University, Tianjin, China. In 2014, he was a Program Aid with Texas A & M University at Qatar, Doha, Qatar, for two months. From June 2015 to July 2015 and from July 2016 to August 2016, he was Postdoctoral Research Associate with Texas A & M University at Qatar. From June 2017 to September 2017, he was Associate Research Scientist in Texas A & M University at Qatar. He has authored two books entitled Analysis and control of coupled neural networks with reaction-diffusion terms (Springer, 2017) and Analysis and control of output synchronization for complex dynamical networks (Springer, 2018). He is currently Professor with the School of Computer Science and Technology, Tiangong University. His current research interests include passivity, synchronization, cooperative control, complex networks, coupled neural networks, coupled reaction–diffusion neural networks, and multiagent systems.Dr. Wang currently serves as Associate Editor for the Neurocomputing and was Managing Guest Editor for the Special Issue of Dynamical behaviors of coupled neural networks with reaction-diffusion terms: analysis, control and applications in Neurocomputing.
Bibliographic Information
Book Title: Passivity of Complex Dynamical Networks
Book Subtitle: Analysis, Control and Applications
Authors: Jin-Liang Wang, Huai-Ning Wu, Shun-Yan Ren
DOI: https://doi.org/10.1007/978-981-33-4287-3
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-33-4286-6Published: 12 December 2020
Softcover ISBN: 978-981-33-4289-7Published: 13 December 2021
eBook ISBN: 978-981-33-4287-3Published: 12 December 2020
Edition Number: 1
Number of Pages: XIV, 243
Number of Illustrations: 46 illustrations in colour
Topics: Control, Robotics, Mechatronics, Dynamical Systems and Ergodic Theory, Vibration, Dynamical Systems, Control, Complex Systems, Mathematical Models of Cognitive Processes and Neural Networks