Passivity of Complex Dynamical Networks

Analysis, Control and Applications
1. Auflage 2021
ISBN: 978-981-334-289-7
Verlag: Springer Nature Singapore

Buch, Englisch, 243 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 400 g

This book intends to introduce some recent results on passivity of complex dynamical networks with single weight and multiple weights. The book collects novel research ideas and some definitions in complex dynamical networks, such as passivity, output strict passivity, input strict passivity, finite-time passivity, and multiple weights. Furthermore, the research results previously published in many flagship journals are methodically edited and presented in a unified form. The book is likely to be of interest to university researchers and graduate students in Engineering and Mathematics who wish to study the passivity of complex dynamical networks.

Zielgruppe

Research

Autoren/Hrsg.

Wang, Jin-Liang

Ren, Shun-Yan

Wu, Huai-Ning

Fachgebiete

• Mathematik | Informatik Mathematik Geometrie Dynamische Systeme
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
• Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Statik, Dynamik, Kinetik, Kinematik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

Introduction.- Passivity Analysis of CDNs with Multiple Time-varying Delays.- Passivity Analysis and Pinning Control of Multi-Weighted CDNs.- Finite-time Passivity and Synchronization of CDNs with State and Derivative Coupling.- Finite-time Passivity of Adaptive Coupled Neural Networks with Undirected and Directed Topologies.- Finite-time Passivity of Coupled Neural Networks with Multiple Weights.- Passivity and Stability Analysis of Reaction-diffusion Neural Networks with Dirichlet Boundary Conditions.- Passivity of Delayed Reaction-diffusion Networks with Application to a Food Web Model.- Passivity and Synchronization of CURDNNs with Multiple Time-delays.

Über Autor(innen)

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.