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Published by Springer Verlag, Singapore, Singapore, 2019
ISBN 10: 9811361355 ISBN 13: 9789811361357
Language: English
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Hardcover. Condition: new. Hardcover. 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. This book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Wiley-Blackwell 2016-11-07, 2016
ISBN 10: 1119189047 ISBN 13: 9781119189046
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Published by John Wiley and Sons Inc, US, 2017
ISBN 10: 1119189047 ISBN 13: 9781119189046
Language: English
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Add to basketHardback. Condition: New. A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances and industrially relevant applications Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent systems (MAS)Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks and control processesCovers basic theory, rigorous mathematics as well as engineering practice.
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Published by John Wiley and Sons Inc, US, 2017
ISBN 10: 1119189047 ISBN 13: 9781119189046
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Add to basketHardback. Condition: New. A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances and industrially relevant applications Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent systems (MAS)Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks and control processesCovers basic theory, rigorous mathematics as well as engineering practice.
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Add to basketHardcover. Condition: Brand New. 272 pages. 9.25x6.10x0.90 inches. In Stock.
Published by Springer Verlag, Singapore, Singapore, 2019
ISBN 10: 9811361355 ISBN 13: 9789811361357
Language: English
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Add to basketHardcover. Condition: new. Hardcover. 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. This book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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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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