Overview
- Discusses the redefined concepts of stability, synchronization and consensus for complex neural networks
- Provides new insights into neural networks and their applications in electrical engineering
- Helps readers to understand the theory behind the control technique and its design
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 34)
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About this book
This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics will benefit from the discussions on complex systems. The book will also help readers to better understand the theory behind the control technique and its design.
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Keywords
Table of contents (12 chapters)
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Front Matter
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Back Matter
Reviews
“Each chapter is independent and self-contained and the book can be read randomly according to one's requirements. … This book should benefit researchers and senior graduate/post-graduate students interested in the study of dynamical systems, by providing different kinds of mathematical tools and techniques. … this book will definitely benefit readers, providing new insight into the area of neural networks in particular and dynamical systems in general, thereby enriching the literature.” (Ponnado Raja Sekhara Rao, Mathematical Reviews, April, 2017)
Authors and Affiliations
About the authors
Zhanshan Wang received B.S. degree in Electrical Automation from Inner Mongolia University of Science and Technology, Baotou, China in 1994, M.S. degree in Control Theory and Control Engineering from Liaoning Shihua University, Fushun in 2001 and Ph.D. degree in Control Theory and Control Engineering from Northeastern University, Shenyang in 2006, respectively. From 1994 to 1998 he was a technician in Fushun Plant, Liaoning. He is currently a Professor with the College of Information Science and Engineering, Northeastern University, Shenyang, China. His current research interests include stability analysis of dynamical system, neural networks, complex networks, multi-agent systems, computational intelligence, fault diagnosis, adaptive control and their applications.
Bibliographic Information
Book Title: Qualitative Analysis and Control of Complex Neural Networks with Delays
Authors: Zhanshan Wang, Zhenwei Liu, Chengde Zheng
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-662-47484-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Science Press, Beijing and Springer-Verlag Berlin Heidelberg 2016
Hardcover ISBN: 978-3-662-47483-9Published: 30 July 2015
Softcover ISBN: 978-3-662-51655-3Published: 18 October 2016
eBook ISBN: 978-3-662-47484-6Published: 18 July 2015
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XIV, 388
Number of Illustrations: 25 b/w illustrations, 7 illustrations in colour
Additional Information: Jointly published with Science Press, Bejing, China
Topics: Vibration, Dynamical Systems, Control, Complexity, Control and Systems Theory, Power Electronics, Electrical Machines and Networks