Radial Basis Function (RBF) Neural Network Control for Mechanical Systems Design, Analysis and Matlab Simulation /
Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design metho...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Autor Corporativo: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
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Edición: | 1st ed. 2013. |
Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Introduction
- RBF Neural Network Design and Simulation
- RBF Neural Network Control Based on Gradient Descent Algorithm
- Adaptive RBF Neural Network Control
- Neural Network Sliding Mode Control
- Adaptive RBF Control Based on Global Approximation
- Adaptive Robust RBF Control Based on Local Approximation
- Backstepping Control with RBF
- Digital RBF Neural Network Control
- Discrete Neural Network Control
- Adaptive RBF Observer Design and Sliding Mode Control.