Titre : | Adaptive internal model control |
Auteurs : | Aniruddha Datta, Auteur |
Type de document : | texte imprimé |
Editeur : | Londres : Springer-Verlag, 1998 |
Collection : | Advances in industrial control |
ISBN/ISSN/EAN : | 978-3-540-76252-2 |
Format : | 1 vol. (VII-151 p.) / ill., couv. ill. / 24 cm |
Langues originales: | |
Index. décimale : | 629.836 (Systèmes non linéaires) |
Catégories : | |
Mots-clés: | Systèmes adaptatifs Commande de processus |
Résumé : |
Written in a self-contained tutorial fashion, this research monograph successfully brings the latest theoretical advances in the design of robust adaptive systems to the realm of industrial applications. It provides a theoretical basis for analytically justifying some of the reported industrial successes of existing adaptive internal model control schemes, and enables the reader to synthesise adaptive versions of their own favourite robust internal model control scheme by combining it with a robust adaptive law. The net result is that earlier empirical IMC designs can now be systematically robustified or replaced altogether by new designs with assured guarantees of stability and robustness. Practising engineers, researchers and graduate students will find this book to be a valuable source of information on the subject. |
Note de contenu : |
Sommaire: • 1. Introduction. • 2. Mathematical Preliminaries. • 3. Internal Model Control Schemes. • 4. On-line Parameter Estimation. • 5. Adaptive Internal Model Control Schemes. • 6. Robust Parameter Estimation. • 7. Robust Adaptive IMC Schemes. • 8. Conclusion. • A. The YJBK Parametrization of All Stabilizing Controllers. • B. Optimization Using the Gradient Method. |
Côte titre : |
S8/59612-59613 |
Exemplaires (2)
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S8/59612 | Livre | Bibliothèque centrale | Disponible |
S8/59613 | Livre | Bibliothèque centrale | Disponible |
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