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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.
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Contenuti
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.
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Book by Chen Yangquan Wen Changyun
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Iterative Learning Control: Convergence, Robustness and Applications (Lecture Notes in Control and Information Sciences) (Volume 248)
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Condizione: Fair. Volume 248. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,450grams, ISBN:9781852331900. Codice articolo 7090638
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Iterative Learning Control : Convergence, Robustness and Applications
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Iterative Learning Control
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides comprehensive coverage of this new and important area of modern control engineeringSeveral practical applications are demonstratedBoth theoretical and practical aspects of ILC are consideredThis book provides readers with a comprehensiv. Codice articolo 4289399
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Iterative Learning Control
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Springer London, Springer London Sep 1999, 1999
ISBN 10: 1852331909
ISBN 13: 9781852331900
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 220 pp. Englisch. Codice articolo 9781852331900
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Iterative Learning Control: Convergence, Robustness and Applications (Lecture Notes in Control and Information Sciences, 248)
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Iterative Learning Control : Convergence, Robustness and Applications
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9781852331900
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Iterative Learning Control: Convergence, Robustness and Applications (Lecture Notes in Control and Information Sciences, 248)
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Iterative Learning Control: Convergence, Robustness and Applications
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Springer London Ltd, 1999
ISBN 10: 1852331909
ISBN 13: 9781852331900
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Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 371. Codice articolo C9781852331900
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Iterative Learning Control : Convergence, Robustness and Applications
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Iterative Learning Control
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Condizione: New. pp. 220. Codice articolo 2697858497
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