Overview
- Authors:
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Zhanshan Wang
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College of Information Science and Engineering, Northeastern University, Shenyang, China
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Zhenwei Liu
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College of Information Sci. and Eng., Northeastern University, Shenyang, China
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Chengde Zheng
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Department of Mathematics, Dalian Jiaotong University, Dalian, China
- 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
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Table of contents (12 chapters)
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- Zhanshan Wang, Zhenwei Liu, Chengde Zheng
Pages 1-36
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- Zhanshan Wang, Zhenwei Liu, Chengde Zheng
Pages 37-90
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- Zhanshan Wang, Zhenwei Liu, Chengde Zheng
Pages 91-172
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- Zhanshan Wang, Zhenwei Liu, Chengde Zheng
Pages 173-204
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- Zhanshan Wang, Zhenwei Liu, Chengde Zheng
Pages 205-224
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- Zhanshan Wang, Zhenwei Liu, Chengde Zheng
Pages 225-237
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- Zhanshan Wang, Zhenwei Liu, Chengde Zheng
Pages 239-257
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- Zhanshan Wang, Zhenwei Liu, Chengde Zheng
Pages 259-276
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- Zhanshan Wang, Zhenwei Liu, Chengde Zheng
Pages 277-309
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- Zhanshan Wang, Zhenwei Liu, Chengde Zheng
Pages 311-331
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- Zhanshan Wang, Zhenwei Liu, Chengde Zheng
Pages 333-360
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- Zhanshan Wang, Zhenwei Liu, Chengde Zheng
Pages 361-383
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Back Matter
Pages 385-388
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.
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
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College of Information Science and Engineering, Northeastern University, Shenyang, China
Zhanshan Wang
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College of Information Sci. and Eng., Northeastern University, Shenyang, China
Zhenwei Liu
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Department of Mathematics, Dalian Jiaotong University, Dalian, China
Chengde Zheng
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.
