Non-identifier-based high-gain adaptive control

Over the last decade the field of adaptive control where no identification mechanisms are invoked has become a major research topic. This book presents a state-of-the-art report on the following more specific area: the system classes under consideration contain linear (possibly nonlinearly perturbed...

Description complète

Enregistré dans:
Détails bibliographiques
Auteur principal: Ilchmann, Achim, 1956-
Format: Livre numérique
Langue:Anglais
Publié: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Collection:Lecture notes in control and information sciences 189
Sujets:
Accès en ligne:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Non-identifier-based high-gain adaptive control, Achim Ilchmann, London, Springer-Verlag, 1993, x, 204 p., Lecture notes in control and information sciences, 0-387-19845-8
• Non-Identifier-Based High-Gain Adaptive Control, Texte imprimé, 9783662184509
Description
Résumé:Over the last decade the field of adaptive control where no identification mechanisms are invoked has become a major research topic. This book presents a state-of-the-art report on the following more specific area: the system classes under consideration contain linear (possibly nonlinearly perturbed), finite dimensional, continuous time systems which are stabilizable by high-gain output feedback. The properties of minimum phase systems and strictly positive real systems are studied in their own right. These results are applied to design simple adaptive controllers involving a switching strategy which is mainly tuned by a one parameter controller based on output data alone. Control objectives are stabilization, tracking, -tracking and servomechanism action. In addition, robustness with respect to nonlinear perturbations and performance improvements are investigated.
Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540393184 (PDF)
ISSN:1610-7411
Accès:Accès en ligne pour les établissements français bénéficiaires des licences nationales
Accès soumis à abonnement pour tout autre établissement
Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017