
Neural network control: theory and applications
Sunan Huang, Kok kiong Tan, Kok zuea Tang - Collection Control and signal/image processing series
Résumé
A substantial part of the book addresses application issues in NN control, providing several interesting case studies for more application-oriented readers. Thus, while the book is written to serve as an advanced control reference on NN control for researchers, postgraduates and senior undergraduates, it should be equally useful to those industrial practitioners who are keen to explore the use of advanced neural network control in real problems. The prerequisite for gaining maximum benefit from this book is a basic knowledge of control systems, such as that imparted by a first undergraduate course on control systems engineering.
Sommaire
- Neural network fundamentals
- Mathematical background
- Neural network-based learning and control
- Adaptive neural network control
- Adaptive backstepping control design of nonlinear systems
- Adaptive neural network control design for robot manipulators
- Case studies
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Research Studies Press |
Auteur(s) | Sunan Huang, Kok kiong Tan, Kok zuea Tang |
Collection | Control and signal/image processing series |
Parution | 14/06/2004 |
Nb. de pages | 396 |
Format | 15,5 x 23,5 |
Couverture | Relié |
Poids | 777g |
Intérieur | Noir et Blanc |
EAN13 | 9780863802850 |
ISBN13 | 978-0-86380-285-0 |
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