Discrete-time high Order neural control : trained with Kaiman filtering
The objective of this work is to present recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs. The results that appear in each chapter include rigorous mathematical analyses, based on the Lyapunov approach, in order to guarante...
Wedi'i Gadw mewn:
| Prif Awduron: | , , |
|---|---|
| Fformat: | Livre numérique |
| Iaith: | Anglais |
| Cyhoeddwyd: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Rhifyn: | 1st ed. 2008. |
| Cyfres: | Studies in Computational Intelligence
|
| Mynediad Ar-lein: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nodyn: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Discrete-Time High Order Neural Control, Texte imprimé, 9783540782889 • Discrete-Time High Order Neural Control, Texte imprimé, 9783642096952 • Discrete-Time High Order Neural Control, Texte imprimé, 9783540870753 • Discrete-Time High Order Neural Control, Texte imprimé, 9783540782889 |
Tabl Cynhwysion:
- Mathematical Preliminaries Discrete-Time Adaptive Neural Backstepping Discrete-Time Block Control Discrete-Time Neural Observers Discrete-Time Output Trajectory Tracking Real Time Implementation Conclusions and Future Work