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Iterative Learning Control with Passive Incomplete Information: Algorithms Design and Convergence Analysis - Brossura
- EditoreSpringer
- Data di pubblicazione2018
- ISBN 10 9811341052
- ISBN 13 9789811341052
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine308
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Iterative Learning Control with Passive Incomplete Information
Editore:
Springer Nature Singapore Dez 2018, 2018
ISBN 10: 9811341052
ISBN 13: 9789811341052
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Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an in-depth discussion of iterative learning control (ILC) with passive incomplete information, highlighting the incomplete input and output data resulting from practical factors such as data dropout, transmission disorder, communication delay, etc.-a cutting-edge topic in connection with the practical applications of ILC. It describes in detail three data dropout models: the random sequence model, Bernoulli variable model, and Markov chain model-for both linear and nonlinear stochastic systems. Further, it proposes and analyzes two major compensation algorithms for the incomplete data, namely, the intermittent update algorithm and successive update algorithm. Incomplete information environments include random data dropout, random communication delay, random iteration-varying lengths, and other communication constraints. With numerous intuitive figures to make the content more accessible, the book explores several potential solutions to this topic, ensuring that readers are not only introduced to the latest advances in ILC for systems with random factors, but also gain an in-depth understanding of the intrinsic relationship between incomplete information environments and essential tracking performance. It is a valuable resource for academics and engineers, as well as graduate students who are interested in learning about control, data-driven control, networked control systems, and related fields. 308 pp. Englisch. Codice articolo 9789811341052
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Iterative Learning Control with Passive Incomplete Information: Algorithms Design and Convergence Analysis
Print on DemandDa: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a comprehensive discussion of iterative learning control (ILC) in various data dropout environments Proposes several systematic procedures for the design and analysis of ILC for stochastic systems with passive incomplete information . Codice articolo 266008199
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Iterative Learning Control with Passive Incomplete Information : Algorithms Design and Convergence Analysis
Editore:
Springer Nature Singapore, Springer Nature Singapore, 2018
ISBN 10: 9811341052
ISBN 13: 9789811341052
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an in-depth discussion of iterative learning control (ILC) with passive incomplete information, highlighting the incomplete input and output data resulting from practical factors such as data dropout, transmission disorder, communication delay, etc.-a cutting-edge topic in connection with the practical applications of ILC. It describes in detail three data dropout models: the random sequence model, Bernoulli variable model, and Markov chain model-for both linear and nonlinear stochastic systems. Further, it proposes and analyzes two major compensation algorithms for the incomplete data, namely, the intermittent update algorithm and successive update algorithm. Incomplete information environments include random data dropout, random communication delay, random iteration-varying lengths, and other communication constraints. With numerous intuitive figures to make the content more accessible, the book explores several potential solutions to this topic, ensuring that readers are not only introduced to the latest advances in ILC for systems with random factors, but also gain an in-depth understanding of the intrinsic relationship between incomplete information environments and essential tracking performance. It is a valuable resource for academics and engineers, as well as graduate students who are interested in learning about control, data-driven control, networked control systems, and related fields. Codice articolo 9789811341052
Quantità: 1 disponibili
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Iterative Learning Control with Passive Incomplete Information: Algorithms Design and Convergence Analysis
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 308. Codice articolo 26375982194
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Iterative Learning Control with Passive Incomplete Information: Algorithms Design and Convergence Analysis
Print on DemandDa: Majestic Books, Hounslow, Regno Unito
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Condizione: New. Print on Demand pp. 308. Codice articolo 371111853
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Iterative Learning Control with Passive Incomplete Information: Algorithms Design and Convergence Analysis
Print on DemandDa: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. PRINT ON DEMAND pp. 308. Codice articolo 18375982200
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Iterative Learning Control with Passive Incomplete Information: Algorithms Design and Convergence Analysis
Da: Mispah books, Redhill, SURRE, Regno Unito
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Paperback. Condizione: New. New. book. Codice articolo ERICA80098113410526
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Iterative Learning Control With Passive Incomplete Information: Algorithms Design and Convergence Analysis
Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. reprint edition. 308 pages. 9.25x6.10x0.70 inches. In Stock. Codice articolo zk9811341052
Quantità: 1 disponibili