Practical Iterative Learning Control by Wang Danwei (28 results)
Language: English
Published by Springer, 2016
Series: Advances in Industrial Control, Book 110 of 167. Book 110 of 167 - Advances in Industrial Control
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Language: English
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Language: English
Published by Springer, 2014
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Language: English
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Taschenbuch. Condition: Neu. Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation | Danwei Wang (u. a.) | Taschenbuch | Advances in Industrial Control | xii | Englisch | 2016 | Springer | EAN 9789811013539 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 6…9121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer Nature Singapore, 2014
Series: Advances in Industrial Control, Book 110 of 167. Book 110 of 167 - Advances in Industrial Control
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book is on the iterative learning control (ILC) with focus on the design and implementation. We approach the ILC design based on the frequency domain analysis and address the ILC implementation based on the sampled data methods. This is the fi…rst book of ILC from frequency domain and sampled data methodologies. The frequency domain design methods offer ILC users insights to the convergence performance which is of practical benefits. This book presents a comprehensive framework with various methodologies to ensure the learnable bandwidth in the ILC system to be set with a balance between learning performance and learning stability. The sampled data implementation ensures effective execution of ILC in practical dynamic systems. The presented sampled data ILC methods also ensure the balance of performance and stability of learning process. Furthermore, the presented theories and methodologies are tested with an ILC controlled robotic system. The experimental results show that the machines can work in much higher accuracy than a feedback control alone can offer. With the proposed ILC algorithms, it is possible that machines can work to their hardware design limits set by sensors and actuators. The target audience for this book includes scientists, engineers and practitioners involved in any systems with repetitive operations.
Practical Iterative Learning Control with Frequency Domain Design and Sampled DataImplementation
Wang, Danwei (Author)/ Ye, Yongqiang (Author)/ Zhang, Bin (Author)
Language: English
Published by Springer, 2014
Series: Advances in Industrial Control, Book 110 of 167. Book 110 of 167 - Advances in Industrial Control
- Hardcover
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Hardcover. Condition: Brand New. 2014 edition. 226 pages. 9.25x6.25x0.75 inches. In Stock.
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2014
Series: Advances in Industrial Control, Book 110 of 167. Book 110 of 167 - Advances in Industrial Control
- Hardcover
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is on the iterative learning control (ILC) with focus on the design and implementation. We approach the ILC design based on the frequency domain analysis and address the ILC implementation based on the sampled data methods. This is the first boo…k of ILC from frequency domain and sampled data methodologies. The frequency domain design methods offer ILC users insights to the convergence performance which is of practical benefits. This book presents a comprehensive framework with various methodologies to ensure the learnable bandwidth in the ILC system to be set with a balance between learning performance and learning stability. The sampled data implementation ensures effective execution of ILC in practical dynamic systems. The presented sampled data ILC methods also ensure the balance of performance and stability of learning process. Furthermore, the presented theories and methodologies are tested with an ILC controlled robotic system. The experimental results show that the machines can work in much higher accuracy than a feedback control alone can offer. With the proposed ILC algorithms, it is possible that machines can work to their hardware design limits set by sensors and actuators. The target audience for this book includes scientists, engineers and practitioners involved in any systems with repetitive operations.
Language: English
Published by Springer, Springer, 2016
Series: Advances in Industrial Control, Book 110 of 167. Book 110 of 167 - Advances in Industrial Control
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is on the iterative learning control (ILC) with focus on the design and implementation. We approach the ILC design based on the frequency domain analysis and address the ILC implementation based on the sampled data methods. This is the fi…rst book of ILC from frequency domain and sampled data methodologies. The frequency domain design methods offer ILC users insights to the convergence performance which is of practical benefits. This book presents a comprehensive framework with various methodologies to ensure the learnable bandwidth in the ILC system to be set with a balance between learning performance and learning stability. The sampled data implementation ensures effective execution of ILC in practical dynamic systems. The presented sampled data ILC methods also ensure the balance of performance and stability of learning process. Furthermore, the presented theories and methodologies are tested with an ILC controlled robotic system. The experimental results show that the machines can work in much higher accuracy than a feedback control alone can offer. With the proposed ILC algorithms, it is possible that machines can work to their hardware design limits set by sensors and actuators. The target audience for this book includes scientists, engineers and practitioners involved in any systems with repetitive operations.
Language: English
Published by Springer, 2014
Series: Advances in Industrial Control, Book 110 of 167. Book 110 of 167 - Advances in Industrial Control
- Hardcover
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Language: English
Published by Springer, 2014
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- Hardcover
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Language: English
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Language: English
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Language: English
Published by Springer Nature Singapore Sep 2016, 2016
Series: Advances in Industrial Control, Book 110 of 167. Book 110 of 167 - Advances in Industrial Control
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is on the iterative learning control (ILC) with focus on the design and implementation. We approach the ILC design based on the frequency domain analysis and address the ILC implementation based on the sampled data methods…. This is the first book of ILC from frequency domain and sampled data methodologies. The frequency domain design methods offer ILC users insights to the convergence performance which is of practical benefits. This book presents a comprehensive framework with various methodologies to ensure the learnable bandwidth in the ILC system to be set with a balance between learning performance and learning stability. The sampled data implementation ensures effective execution of ILC in practical dynamic systems. The presented sampled data ILC methods also ensure the balance of performance and stability of learning process. Furthermore, the presented theories and methodologies are tested with an ILC controlled robotic system. The experimental results show that the machines can work in much higher accuracy than a feedback control alone can offer. With the proposed ILC algorithms, it is possible that machines can work to their hardware design limits set by sensors and actuators. The target audience for this book includes scientists, engineers and practitioners involved in any systems with repetitive operations. 240 pp. Englisch.
Language: English
Published by Springer Nature Singapore Jul 2014, 2014
Series: Advances in Industrial Control, Book 110 of 167. Book 110 of 167 - Advances in Industrial Control
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is on the iterative learning control (ILC) with focus on the design and implementation. We approach the ILC design based on the frequency domain analysis and address the ILC implementation based on the sampled data methods. This…is the first book of ILC from frequency domain and sampled data methodologies. The frequency domain design methods offer ILC users insights to the convergence performance which is of practical benefits. This book presents a comprehensive framework with various methodologies to ensure the learnable bandwidth in the ILC system to be set with a balance between learning performance and learning stability. The sampled data implementation ensures effective execution of ILC in practical dynamic systems. The presented sampled data ILC methods also ensure the balance of performance and stability of learning process. Furthermore, the presented theories and methodologies are tested with an ILC controlled robotic system. The experimental results show that the machines can work in much higher accuracy than a feedback control alone can offer. With the proposed ILC algorithms, it is possible that machines can work to their hardware design limits set by sensors and actuators. The target audience for this book includes scientists, engineers and practitioners involved in any systems with repetitive operations. 240 pp. Englisch.
Language: English
Published by Springer Singapore, 2016
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book of iterative learning control (ILC) from frequency domain and sampled data methodologiesSummarizes the latest study of learning performance and learning stabilityMaximizes reader in…sights into the practical significance of ILC wi.
Language: English
Published by Springer Singapore, 2014
Series: Advances in Industrial Control, Book 110 of 167. Book 110 of 167 - Advances in Industrial Control
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book of iterative learning control (ILC) from frequency domain and sampled data methodologiesSummarizes the latest study of learning performance and learning stabilityMaximizes reader insights into the practical… significance of ILC wi.
Language: English
Published by Springer, 2016
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is on the iterative learning control (ILC) with focus on the design and implementation. We approach the ILC design based on the frequency domain analysis and address the ILC implementation based on the sampled data methods. Th…is is the first book of ILC from frequency domain and sampled data methodologies. The frequency domain design methods offer ILC users insights to the convergence performance which is of practical benefits. This book presents a comprehensive framework with various methodologies to ensure the learnable bandwidth in the ILC system to be set with a balance between learning performance and learning stability. The sampled data implementation ensures effective execution of ILC in practical dynamic systems. The presented sampled data ILC methods also ensure the balance of performance and stability of learning process. Furthermore, the presented theories and methodologies are tested with an ILC controlled robotic system. The experimental results show that the machines can work in much higher accuracy than a feedback control alone can offer. With the proposed ILC algorithms, it is possible that machines can work to their hardware design limits set by sensors and actuators. The target audience for this book includes scientists, engineers and practitioners involved in any systems with repetitive operations.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 240 pp. Englisch.
Language: English
Published by Springer, Springer Jul 2014, 2014
Series: Advances in Industrial Control, Book 110 of 167. Book 110 of 167 - Advances in Industrial Control
- Hardcover
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is on the iterative learning control (ILC) with focus on the design and implementation. We approach the ILC design based on the frequency domain analysis and address the ILC implementation based on the sampled data methods. This is t…he first book of ILC from frequency domain and sampled data methodologies. The frequency domain design methods offer ILC users insights to the convergence performance which is of practical benefits. This book presents a comprehensive framework with various methodologies to ensure the learnable bandwidth in the ILC system to be set with a balance between learning performance and learning stability. The sampled data implementation ensures effective execution of ILC in practical dynamic systems. The presented sampled data ILC methods also ensure the balance of performance and stability of learning process. Furthermore, the presented theories and methodologies are tested with an ILC controlled robotic system. The experimental results show that the machines can work in much higher accuracy than a feedback control alone can offer. With the proposed ILC algorithms, it is possible that machines can work to their hardware design limits set by sensors and actuators. The target audience for this book includes scientists, engineers and practitioners involved in any systems with repetitive operations.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 240 pp. Englisch.
