Nonlinear H2-H Constrained Feedback Control : A Practical Design Approach Using Neural Networks
Modern aerospace, automotive, nautical, industrial, microsystem-assembly and robotic systems are becoming more and more complex. High-performance vehicles no longer have built-in error safety margins, but are inherently unstable by design to allow for more flexible maneuvering options. With the push...
Salvato in:
| Autori principali: | , , |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
London :
Springer London
2006.
Cham : Springer Nature |
| Serie: | Advances in Industrial Control
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| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Nonlinear H2/H Constrained Feedback Control, Texte imprimé, 9781846283499 • Nonlinear H2/H-Infinity Constrained Feedback Control, Texte imprimé, 9781849965842 • Nonlinear H2/H-Infinity Constrained Feedback Control, Texte imprimé, 9781848004900 |
Sommario:
- Preliminaries and Introduction
- Policy Iterations and Nonlinear H 2 Constrained State Feedback Control
- Nearly H 2 Optimal Neural Network Control for Constrained-Input Systems
- Policy Iterations and Nonlinear H ? Constrained State Feedback Control
- Nearly H ? Optimal Neural Network Control for Constrained-Input Systems
- Taylor Series Approach to Solving HJI Equation
- An Algorithm to Solve Discrete HJI Equations Arising from Discrete Nonlinear H ? Control Problems
- H ? Static Output Feedback.