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- PublisherSpringer
- Publication date2022
- ISBN 10 3030731383
- ISBN 13 9783030731380
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages186
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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems
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Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030731383
ISBN 13: 9783030731380
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Seller: moluna, Greven, Germany
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The focus of this book is the application of artificial neural networks in uncertain dynamical systems. It explains how to use neural networks in concert with adaptive techniques for system identification, state estimation, and control problems. The authors. Seller Inventory # 611591407
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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems
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Springer International Publishing Jun 2022, 2022
ISBN 10: 3030731383
ISBN 13: 9783030731380
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The focus of this book is the application of artificial neural networks in uncertain dynamical systems. It explains how to use neural networks in concert with adaptive techniques for system identification, state estimation, and control problems. The authors begin with a brief historical overview of adaptive control, followed by a review of mathematical preliminaries. In the subsequent chapters, they present several neural network-based control schemes. Each chapter starts with a concise introduction to the problem under study, and a neural network-based control strategy is designed for the simplest case scenario. After these designs are discussed, different practical limitations (i.e., saturation constraints and unavailability of all system states) are gradually added, and other control schemes are developed based on the primary scenario. Through these exercises, the authors present structures that not only provide mathematical tools for navigating control problems, but also supply solutions that are pertinent to real-life systems. 188 pp. Englisch. Seller Inventory # 9783030731380
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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems
Published by
Springer International Publishing, 2022
ISBN 10: 3030731383
ISBN 13: 9783030731380
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The focus of this book is the application of artificial neural networks in uncertain dynamical systems. It explains how to use neural networks in concert with adaptive techniques for system identification, state estimation, and control problems. The authors begin with a brief historical overview of adaptive control, followed by a review of mathematical preliminaries. In the subsequent chapters, they present several neural network-based control schemes. Each chapter starts with a concise introduction to the problem under study, and a neural network-based control strategy is designed for the simplest case scenario. After these designs are discussed, different practical limitations (i.e., saturation constraints and unavailability of all system states) are gradually added, and other control schemes are developed based on the primary scenario. Through these exercises, the authors present structures that not only provide mathematical tools for navigating control problems, but also supply solutions that are pertinent to real-life systems. Seller Inventory # 9783030731380
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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP. Seller Inventory # 26394746059
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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems
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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems
Print on DemandSeller: Biblios, Frankfurt am main, HESSE, Germany
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Condition: New. PRINT ON DEMAND. Seller Inventory # 18394746049
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