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Librería: WeBuyBooks, Rossendale, LANCS, Reino Unido
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Librería: AwesomeBooks, Wallingford, Reino Unido
EUR 10,26
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Añadir al carritohardcover. Condición: Very Good. Iterative Learning Control with Passive Incomplete Information: Algorithms Design and Convergence Analysis This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
EUR 12,00
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Añadir al carritoXIV, 294 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
EUR 19,00
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Añadir al carritoXIV, 256 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 153,26
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Publicado por Springer Nature Singapore, Springer Nature Singapore, 2018
ISBN 10: 9811341052 ISBN 13: 9789811341052
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 153,90
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Añadir al carritoTaschenbuch. Condición: 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.
Publicado por Springer Nature Singapore, Springer Nature Singapore, 2018
ISBN 10: 9811082669 ISBN 13: 9789811082665
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 153,90
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Añadir al carritoBuch. Condición: 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.
Publicado por Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10: 9811361355 ISBN 13: 9789811361357
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 153,90
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths. Instead of traditional ILC, which requires systems to repeat on a fixed time interval, this book focuses on a more practical case where the trial length might randomly vary from iteration to iteration. The iteration-varying trial lengths may be different from the desired trial length, which can cause redundancy or dropouts of control information in ILC, making ILC design a challenging problem. The book focuses on the synthesis and analysis of ILC for both linear and nonlinear systems with iteration-varying trial lengths, and proposes various novel techniques to deal with the precise tracking problem under non-repeatable trial lengths, such as moving window, switching system, and searching-based moving average operator. It not only discusses recent advances in ILC for systems with iteration-varying trial lengths, but also includes numerousintuitive figures to allow readers to develop an in-depth understanding of the intrinsic relationship between the incomplete information environment and the essential tracking performance. This book is intended for academic scholars and engineers who are interested in learning about control, data-driven control, networked control systems, and related fields. It is also a useful resource for graduate students in the above field.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 165,65
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 165,65
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 160,11
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Añadir al carritoHardcover. Condición: Brand New. 310 pages. 9.25x6.10x0.94 inches. In Stock.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 164,49
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Iterative Learning Control (ILC) differs from most existing control methods in the sense that, it exploits every possibility to incorporate past control informa tion, such as tracking errors and control input signals, into the construction of the present control action. There are two phases in Iterative Learning Control: first the long term memory components are used to store past control infor mation, then the stored control information is fused in a certain manner so as to ensure that the system meets control specifications such as convergence, robustness, etc. It is worth pointing out that, those control specifications may not be easily satisfied by other control methods as they require more prior knowledge of the process in the stage of the controller design. ILC requires much less information of the system variations to yield the desired dynamic be haviors. Due to its simplicity and effectiveness, ILC has received considerable attention and applications in many areas for the past one and half decades. Most contributions have been focused on developing new ILC algorithms with property analysis. Since 1992, the research in ILC has progressed by leaps and bounds. On one hand, substantial work has been conducted and reported in the core area of developing and analyzing new ILC algorithms. On the other hand, researchers have realized that integration of ILC with other control techniques may give rise to better controllers that exhibit desired performance which is impossible by any individual approach.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 182,50
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 183,18
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 185,22
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Añadir al carritoCondición: New. pp. 308.
Librería: moluna, Greven, Alemania
EUR 178,14
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Añadir al carritoGebunden. Condición: New.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 219,58
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Añadir al carritoHardcover. Condición: Brand New. 272 pages. 9.25x6.10x0.90 inches. In Stock.
Librería: dsmbooks, Liverpool, Reino Unido
EUR 209,06
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Añadir al carritoHardcover. Condición: New. New. book.
Librería: Mispah books, Redhill, SURRE, Reino Unido
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Añadir al carritoPaperback. Condición: New. New. book.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. reprint edition. 308 pages. 9.25x6.10x0.70 inches. In Stock.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 227,25
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Añadir al carritoPaperback. Condición: Like New. Like New. book.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 247,94
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Añadir al carritoBuch. Condición: Neu. Neuware - Iterative Learning Control (ILC) differs from most existing control methods in the sense that, it exploits every possibility to incorporate past control informa tion, such as tracking errors and control input signals, into the construction of the present control action. There are two phases in Iterative Learning Control: first the long term memory components are used to store past control infor mation, then the stored control information is fused in a certain manner so as to ensure that the system meets control specifications such as convergence, robustness, etc. It is worth pointing out that, those control specifications may not be easily satisfied by other control methods as they require more prior knowledge of the process in the stage of the controller design. ILC requires much less information of the system variations to yield the desired dynamic be haviors. Due to its simplicity and effectiveness, ILC has received considerable attention and applications in many areas for the past one and half decades. Most contributions have been focused on developing new ILC algorithms with property analysis. Since 1992, the research in ILC has progressed by leaps and bounds. On one hand, substantial work has been conducted and reported in the core area of developing and analyzing new ILC algorithms. On the other hand, researchers have realized that integration of ILC with other control techniques may give rise to better controllers that exhibit desired performance which is impossible by any individual approach.
Librería: moluna, Greven, Alemania
EUR 127,40
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Añadir al carritoCondición: 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 .
Librería: Majestic Books, Hounslow, Reino Unido
EUR 189,42
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Librería: Majestic Books, Hounslow, Reino Unido
EUR 191,37
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Añadir al carritoCondición: New. Print on Demand pp. 308.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 197,02
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 199,05
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 308.