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Einband grossZhang Time Discretization (ZTD) Formulas and Applications
ISBN/GTIN

Zhang Time Discretization (ZTD) Formulas and Applications

E-BookPDF0 - No protectionE-Book
355 Seiten
Englisch
Taylor & Franciserschienen am07.08.20241. Auflage
The book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural networks by using various Zhang Time Discretization (ZTD) formulas.mehr
Verfügbare Formate
BuchGebunden
EUR163,50
E-BookEPUB0 - No protectionE-Book
EUR176,99
E-BookPDF0 - No protectionE-Book
EUR176,99

Produkt

KlappentextThe book aims to solve the discrete implementation problems of continuous-time neural network models while improving the performance of neural networks by using various Zhang Time Discretization (ZTD) formulas.
Details
Weitere ISBN/GTIN9781040091616
ProduktartE-Book
EinbandartE-Book
FormatPDF
Format Hinweis0 - No protection
Erscheinungsjahr2024
Erscheinungsdatum07.08.2024
Auflage1. Auflage
Seiten355 Seiten
SpracheEnglisch
Dateigrösse24021 Kbytes
Illustrationen109 schwarz-weiße Abbildungen, 7 schwarz-weiße Fotos, 102 schwarz-weiße Zeichnungen, 64 schwarz-weiße Tabellen
Artikel-Nr.13499584
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
1 Future Matrix Right Pseudoinversion 2 Future Equality-Constrained Quadratic Programming 3 Future Matrix Inversion With Noises 4 Future Matrix Pseudoinversion 5 Future Constrained Nonlinear Optimization With O(g3) 6 Future Unconstrained Nonlinear Optimization With O(g4) 7 Future Different-Layer Inequation-Equation System Solving With O(g5) 8 Future Matrix Square Root Finding With O(g6) 9 Tracking Control of Serial and Parallel Manipulators 10 Future Matrix Inversion with Sometimes-Singular Coefficient Matrix 11 Repetitive Motion Control of Redundant Manipulators 12 Future Different-Layer Equation System Solving 13 Future Matrix Equations Solving 14 Minimum Joint Motion Control of Redundant Manipulators 15 Euler-Precision General Formula of ZTD 16 Lagrange Numerical-Differentiation Formulasmehr

Autor

Yunong Zhang, PH.D., earned his B.S. degree from Huazhong University of Science and Technology, Wuhan, China, in 1996, his M.S. degree from South China University of Technology, Guangzhou, China, in 1999, and his Ph.D. from the Chinese University of Hong Kong, Shatin, Hong Kong, China, in 2003. He is currently a professor at the School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China. Dr. Zhang was supported by the Program for New Century Excellent Talents in Universities in 2007. He received the Best Paper Award from the International Symposium on Systems and Control in Aeronautics and Astronautics (ISSCAA) in 2008 and the Best Paper Award from the International Conference on Automation and Logistics (ICAL) in 2011. He was among the Highly Cited Scholars of China selected and published by Elsevier from 2014 to 2022.

Jinjin Guo, Ph.D., earned her B.E. degree in measurement technology and instrument from Nanchang University, Nanchang, China, in 2016, her M.E. degree in control engineering from Sun Yat-sen University, Guangzhou, China, in 2018, and her Ph.D. in computer science and technology from Sun Yat-sen University, Guangzhou, China, in 2022. She is currently a lecturer at the School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, China. Her main research interests include neural networks, numerical computation, and tracking control.