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Condition: New.
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Condition: New. pp. 272.
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US$ 125.36
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Iterative Learning Control for Multi-Agent Systems Coordination
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Iterative Learning Control for Multi-Agent Systems Coordination
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Iterative Learning Control for Systems with Iteration-Varying Trial Lengths: Synthesis and Analysis
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Iterative Learning Control for Systems with Iteration-Varying Trial Lengths : Synthesis and Analysis
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2019
ISBN 10: 9811361355 ISBN 13: 9789811361357
Buch. Condition: 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.
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Add to basketHardcover. Condition: Brand New. 272 pages. 9.25x6.10x0.90 inches. In Stock.
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Iterative Learning Control for Systems with Iteration-Varying Trial Lengths
Language: English
Published by Springer Nature Singapore Feb 2019, 2019
ISBN 10: 9811361355 ISBN 13: 9789811361357
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 numerous intuitive 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. 272 pp. Englisch.
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US$ 152.54
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers a comprehensive discussion of iterative learning control (ILC) under iteration-varying lengths, an emerging new topicProposes various synthesis and analysis techniques for ILC for linear and nonlinear systemsProvides a systematic fra.
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Buch. Condition: Neu. Iterative Learning Control for Systems with Iteration-Varying Trial Lengths | Synthesis and Analysis | Xuefang Li (u. a.) | Buch | xiv | Englisch | 2019 | Springer Singapore | EAN 9789811361357 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Iterative Learning Control for Systems with Iteration-Varying Trial Lengths : Synthesis and Analysis
US$ 230.13
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Iterative Learning Control for Systems with Iteration-Varying Trial Lengths
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore Feb 2019, 2019
ISBN 10: 9811361355 ISBN 13: 9789811361357
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch.
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Condition: New. PRINT ON DEMAND.
