๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Radial-basis-functions neural network sliding mode control for underactuated mechanical systems

โœ 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

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Radial Basis Function (RBF) Neural Netwo
โœ Liu, Jinkun ๐Ÿ“‚ Article ๐Ÿ“… 2012 ๐Ÿ› Springer Berlin Heidelberg ๐ŸŒ German โš– 246 KB

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 Netwo
โœ Liu, Jinkun ๐Ÿ“‚ Article ๐Ÿ“… 2012 ๐Ÿ› Springer Berlin Heidelberg ๐ŸŒ German โš– 468 KB

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 Netwo
โœ Liu, Jinkun ๐Ÿ“‚ Article ๐Ÿ“… 2012 ๐Ÿ› Springer Berlin Heidelberg ๐ŸŒ German โš– 497 KB

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 Netwo
โœ Liu, Jinkun ๐Ÿ“‚ Article ๐Ÿ“… 2012 ๐Ÿ› Springer Berlin Heidelberg ๐ŸŒ German โš– 589 KB

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