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
Radial-basis-functions neural network sliding mode control for underactuated mechanical systems
โ Scribed by Mahjoub, Sonia; Mnif, Faisal; Derbel, Nabil; Hamerlain, Mustapha
- Book ID
- 121653128
- Publisher
- Springer-Verlag
- Year
- 2014
- Tongue
- English
- Weight
- 623 KB
- Volume
- 2
- Category
- Article
- ISSN
- 2195-268X
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๐ SIMILAR VOLUMES
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
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
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