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- PublisherSpringer
- Publication date2021
- ISBN 10 3030731359
- ISBN 13 9783030731359
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages186
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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems
Seller: SpringBooks, Berlin, Germany
Seller rating 5 out of 5 stars
Hardcover. Condition: Very Good. 1. Auflage. Unread, some shelfwear. Immediately dispatched from Germany. Seller Inventory # CE-2311C-SCHAF-01-1000XS
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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems
Published by
Springer International Publishing, 2021
ISBN 10: 3030731359
ISBN 13: 9783030731359
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Hardcover
Seller: moluna, Greven, Germany
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Kasra Esfandiari is a PhD candidate at The Center for Systems Science, Yale University, New Haven, CT, United States. Farzaneh Abdollahi is Associate Professor at the Department of Electrical Engineer. Seller Inventory # 458553744
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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems
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Springer International Publishing Jun 2021, 2021
ISBN 10: 3030731359
ISBN 13: 9783030731359
New
Hardcover
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 -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 # 9783030731359
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Neural Network-Based Adaptive Control of Uncertain Nonlinear Systems
Published by
Springer International Publishing, 2021
ISBN 10: 3030731359
ISBN 13: 9783030731359
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. 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 # 9783030731359
Quantity: 1 available