Iterative learning control : convergence, robustness, and applications
This book provides readers with a comprehensive coverage of iterative learning control. The book can be used as a text or reference for a course at graduate level and is also suitable for self-study and for industry-oriented courses of continuing education. Ranging from aerodynamic curve identificat...
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| Glavni autori: | , |
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| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
London ; Paris [etc.] :
Springer-Verlag London Limited : Springer e-books
[20..].
Cham : Springer Nature |
| Serija: | Lecture notes in control and information sciences
248 |
| Teme: | |
| Online pristup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Iterative learning control, convergence, robustness, and applications, Yangquan Chen and Changyun Wen, London, Springer, 1999, 1 vol. (XII-199 p.), Lecture notes in control and information sciences, 1-85233-190-9 • Iterative Learning Control, Texte imprimé, 9781447139652 |
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| 100 | 1 | |a Chen, Yangquan, |d 1966- | |
| 245 | 1 | 0 | |a Iterative learning control : |b convergence, robustness, and applications |c Yangquan Chen and Changyun Wen. |
| 260 | |a London ; |a Paris [etc.] : |b Springer-Verlag London Limited : |b Springer e-books. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in control and information sciences |v 248 |x 1610-7411 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a High-order iterative learning control of uncertain nonlinear systems with state delays -- High-order P-type iterative learning controller using current iteration tracking error -- Iterative learning control for uncertain nonlinear discrete-time systems using current iteration tracking error -- Iterative learning control for uncertain nonlinear discrete-time feedback systems with saturation -- Initial state learning method for iterative learning control of uncertain time-varying systems -- High-order terminal iterative learning control with an application to a rapid thermal process for chemical vapor deposition -- Designing iterative learning controllers via noncausal filtering -- Practical iterative learning control using weighted local symmetrical double-integral -- Iterative learning identification with an application to aerodynamic drag coefficient curve extraction problem -- Iterative learning control of functional neuromuscular stimulation systems -- Conclusions and future research. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This book provides readers with a comprehensive coverage of iterative learning control. The book can be used as a text or reference for a course at graduate level and is also suitable for self-study and for industry-oriented courses of continuing education. Ranging from aerodynamic curve identification robotics to functional neuromuscular stimulation, Iterative Learning Control (ILC), started in the early 80s, is found to have wide applications in practice. Generally, a system under control may have uncertainties in its dynamic model and its environment. One attractive point in ILC lies in the utilisation of the system repetitiveness to reduce such uncertainties and in turn to improve the control performance by operating the system repeatedly. This monograph emphasises both theoretical and practical aspects of ILC. It provides some recent developments in ILC convergence and robustness analysis. The book also considers issues in ILC design. Several practical applications are presented to illustrate the effectiveness of ILC. The applied examples provided in this monograph are particularly beneficial to readers who wish to capitalise the system repetitiveness to improve system control performance. | ||
| 650 | |a Commande intelligente | ||
| 650 | |a Ingénierie | ||
| 650 | |a Intelligence computationnelle | ||
| 700 | 1 | |a Wen, Changyun, |d 1963- |4 aut | |
| 776 | 0 | |0 051571846 |t Iterative learning control |o convergence, robustness, and applications |f Yangquan Chen and Changyun Wen |c London |n Springer |d 1999 |p 1 vol. (XII-199 p.) |s Lecture notes in control and information sciences |z 1-85233-190-9 | |
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