This book focuses on solving different types of time-varying problems. It presents various Zhang dynamics (ZD) models by defining various Zhang functions (ZFs) in real and complex domains. It then provides theoretical analyses of such ZD models and illustrates their results. It also uses simulations to substantiate their efficacy and show the feasibility of the presented ZD approach (i.e., different ZFs leading to different ZD models), which is further applied to the repetitive motion planning (RMP) of redundant robots, showing its application potential.
Reviews / Votes
"This detailed, yet concise book of 236 pages contains 5 parts and 18 chapters on Zhang functions (ZF) and Zhang neural dynamics (ZD). . This book on neural computing may serve as a revelation to numerical analysts as it alters the whole field of computing." (Frank Uhlig, zbMATH 1339.65002, 2016)
Edition
Softcover reprint of the original 1st ed. 2015
Language
Place of publication
Publishing group
Target group
Professional and scholarly
Illustrations
36 s/w Abbildungen, 83 farbige Abbildungen
XXI, 236 p. 119 illus., 83 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 14 mm
Weight
ISBN-13
978-3-662-52639-2 (9783662526392)
DOI
10.1007/978-3-662-47334-4
Schweitzer Classification
Yunong Zhang received the B.S. degree from Huazhong University of Science and Technology, Wuhan, China, in 1996, the M.S. degree from South China University of Technology, Guangzhou, China, in 1999, and the Ph.D. degree from Chinese University of Hong Kong, Shatin, Hong Kong, China, in 2003. He is currently a professor at School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China. Before joining Sun Yat-sen University in 2006, Yunong had been with National University of Singapore, University of Strathclyde, and National University of Ireland at Maynooth, since 2003. His main research interests include neural networks, robotics, computation and optimization. He has been working on the researches and applications of neural networks for 20 years. He has now published totally 562 scientific works of various types with the number of SCI citations being 2486 and the number of Google citations being 5560. These include 13 monographs/books, 153 SCI papers (with 72SCI papers published in recent 5 years), 43 IEEE-Transactions/ Magazine papers, 10 solely-authored works, and 426 first-authored works, crosswise. Yunong Zhang was supported by the Program for New Century Excellent Talents in Universities in 2007, was presented the Best Paper Award of ISSCAA in 2008 and the Best Paper Award of ICAL in 2011, and was among the Highly Cited Scholars of China selected and published by Elsevier from year 2014 to year 2018.
Binbin Qiu received the B.S. degree from Jiangxi University of Science and Technology, Ganzhou, China, in 2013, and the Ph.D. degree from Sun Yat-sen University, Guangzhou, China, in 2018. He is currently a postdoctoral fellow at School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China. His main research interests include neural dynamics/neural networks, nonlinear systems, and robotics. He has published/accepted over 45 scientific papers as author or co-author (including 15 SCI papers).
Xiaodong Li received the B.S. degree from Shanxi Normal University, Xi'an, China, in 1987, the M.S. degree from Nanjing University of Science and Technology, Nanjing, China, in 1990, and the Ph.D. degree from City University of Hong Kong, Hong Kong, China, in 2007. He is currently a professor at School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China. His main research interests include 2-D system theory, artificial intelligence and intelligent control.
