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.
Format:
CONTRIBUTORS: Zhanshan Wang
EAN: 9783662516553
COUNTRY: Germany
PAGES:
WEIGHT: 6823 g
HEIGHT: 235 cm
PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
DATE PUBLISHED: 2016-10-18
CITY:
GENRE: TECHNOLOGY & ENGINEERING / Automation, TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Mechanical, TECHNOLOGY & ENGINEERING / Machinery
WIDTH: 155 cm
SPINE:
Book Themes:
Cybernetics and systems theory, Maths for engineers, Engineering: Mechanics of solids, Electrical engineering, Automatic control engineering
“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)
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.
