9789811904660 - discrete-time adaptive iterative learning control: from model-based to data-driven: 1 di chi, ronghu; lin, na; zhang, huimin; zhang, ruikun (13 risultati)
Lingua: Inglese
Editore: Springer 2023
Serie: Intelligent Control and Learning Systems, Libro 2 di 2. Libro 2 di 2 - Intelligent Control and Learning Systems
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Serie: Intelligent Control and Learning Systems, Libro 2 di 2. Libro 2 di 2 - Intelligent Control and Learning Systems
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Serie: Intelligent Control and Learning Systems, Libro 2 di 2. Libro 2 di 2 - Intelligent Control and Learning Systems
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Altre immaginiLingua: Inglese
Editore: Springer 2023
Serie: Intelligent Control and Learning Systems, Libro 2 di 2. Libro 2 di 2 - Intelligent Control and Learning Systems
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Taschenbuch. Condizione: Neu. Discrete-Time Adaptive Iterative Learning Control | From Model-Based to Data-Driven | Ronghu Chi (u. a.) | Taschenbuch | Intelligent Control and Learning Systems | x | Englisch | 2023 | Springer | EAN 9789811904660 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 H…eidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer 2023
Serie: Intelligent Control and Learning Systems, Libro 2 di 2. Libro 2 di 2 - Intelligent Control and Learning Systems
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Paperback. Condizione: Brand New. 216 pages. 9.25x6.10x0.46 inches. In Stock.
Lingua: Inglese
Editore: Springer, Springer 2023
Serie: Intelligent Control and Learning Systems, Libro 2 di 2. Libro 2 di 2 - Intelligent Control and Learning Systems
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book belongs to the subject of control and systems theory. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cutting-edge of ILC and can address random initial states, iteration-varying targets, and other non-rep…etitive uncertainties in practical applications. This book begins with the design and analysis of model-based DAILC methods by referencing the tools used in the discrete-time adaptive control theory. To overcome the extreme difficulties in modeling a complex system, the data-driven DAILC methods are further discussed by building a linear parametric data mapping between two consecutive iterations. Other significant improvements and extensions of the model-based/data-driven DAILC are also studied to facilitate broader applications. The readers can learn the recent progress on DAILC with consideration of various applications. This book is intended for academic scholars, engineers and graduate students who are interested in learning control, adaptive control, nonlinear systems, and related fields.
Lingua: Inglese
Editore: Springer 2023
Serie: Intelligent Control and Learning Systems, Libro 2 di 2. Libro 2 di 2 - Intelligent Control and Learning Systems
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Editore: Springer 2023
Serie: Intelligent Control and Learning Systems, Libro 2 di 2. Libro 2 di 2 - Intelligent Control and Learning Systems
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer Nature Singapore Mrz 2023 2023
Serie: Intelligent Control and Learning Systems, Libro 2 di 2. Libro 2 di 2 - Intelligent Control and Learning Systems
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book belongs to the subject of control and systems theory. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cutting-edge of ILC and can address random initial states, iteration-varying targets, a…nd other non-repetitive uncertainties in practical applications. This book begins with the design and analysis of model-based DAILC methods by referencing the tools used in the discrete-time adaptive control theory. To overcome the extreme difficulties in modeling a complex system, the data-driven DAILC methods are further discussed by building a linear parametric data mapping between two consecutive iterations. Other significant improvements and extensions of the model-based/data-driven DAILC are also studied to facilitate broader applications. The readers can learn the recent progress on DAILC with consideration of various applications. This book is intended for academic scholars, engineers and graduate students who are interested in learning control, adaptive control, nonlinear systems, and related fields. 216 pp. Englisch.
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer 2023
Serie: Intelligent Control and Learning Systems, Libro 2 di 2. Libro 2 di 2 - Intelligent Control and Learning Systems
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Da: moluna, Greven, , Germaniamoluna
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book belongs to the subject of control and systems theory. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cutting-edge of ILC and can address random init…ial states, iteration-varying targets, and other non-repetitive un.
Lingua: Inglese
Editore: Springer 2023
Serie: Intelligent Control and Learning Systems, Libro 2 di 2. Libro 2 di 2 - Intelligent Control and Learning Systems
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Da: Majestic Books, Hounslow, , Regno UnitoMajestic Books
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer, Springer Mär 2023 2023
Serie: Intelligent Control and Learning Systems, Libro 2 di 2. Libro 2 di 2 - Intelligent Control and Learning Systems
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book belongs to the subject of control and systems theory. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cutting-edge of ILC and can address random initial states, iteration-varying targets, and o…ther non-repetitive uncertainties in practical applications. This book begins with the design and analysis of model-based DAILC methods by referencing the tools used in the discrete-time adaptive control theory. To overcome the extreme difficulties in modeling a complex system, the data-driven DAILC methods are further discussed by building a linear parametric data mapping between two consecutive iterations. Other significant improvements and extensions of the model-based/data-driven DAILC are also studied to facilitate broader applications. The readers can learn the recent progress on DAILC with consideration of various applications. This book is intended for academic scholars, engineers and graduate students who are interested in learning control, adaptive control, nonlinear systems, and related fields.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 216 pp. Englisch.
Lingua: Inglese
Editore: Springer 2023
Serie: Intelligent Control and Learning Systems, Libro 2 di 2. Libro 2 di 2 - Intelligent Control and Learning Systems
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
