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Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore, 2024
ISBN 10: 9819770890 ISBN 13: 9789819770892
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 143,56
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume provides a comprehensive overview of recent research advances in the upcoming field of sparse control and state estimation of linear dynamical systems. The contents offer a detailed introduction to the subject by combining classical control theory and compressed sensing. It covers conceptual foundations, including the formulation, theory, and algorithms, and outlines numerous remaining research challenges. Specifically, the book provides a detailed discussion on observability, controllability, and stabilizability under sparsity constraints. It also presents efficient, systematic, and rigorous approaches to estimating the sparse initial states and designing sparse control inputs. It also gives background materials fromrealanalysis and probability theory and includes applications in network control, wireless communication, and image processing.Itserves asacompendioussource for graduate students and researchers in signal processing and control systems toacquire a thorough understanding ofthe underlying unified themes.The academic and industrial professionals working onthe design and optimization ofsparsity-constrained systems also benefit fromthe exposureto the array of recent works on linear dynamical systems and related mathematical machinery.
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ISBN 10: 9819770890 ISBN 13: 9789819770892
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 139,09
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume provides a comprehensive overview of recent research advances in the upcoming field of sparse control and state estimation of linear dynamical systems. The contents offer a detailed introduction to the subject by combining classical control theory and compressed sensing. It covers conceptual foundations, including the formulation, theory, and algorithms, and outlines numerous remaining research challenges. Specifically, the book provides a detailed discussion on observability, controllability, and stabilizability under sparsity constraints. It also presents efficient, systematic, and rigorous approaches to estimating the sparse initial states and designing sparse control inputs. It also gives background materials fromrealanalysis and probability theory and includes applications in network control, wireless communication, and image processing.Itserves asacompendioussource for graduate students and researchers in signal processing and control systems toacquire a thorough understanding ofthe underlying unified themes.The academic and industrial professionals working onthe design and optimization ofsparsity-constrained systems also benefit fromthe exposureto the array of recent works on linear dynamical systems and related mathematical machinery. 98 pp. Englisch.
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Editore: Springer, Springer Dez 2024, 2024
ISBN 10: 9819770890 ISBN 13: 9789819770892
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 139,09
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This volume provides a comprehensive overview of recent research advances in the upcoming field of sparse control and state estimation of linear dynamical systems. The contents offer a detailed introduction to the subject by combining classical control theory and compressed sensing. It covers conceptual foundations, including the formulation, theory, and algorithms, and outlines numerous remaining research challenges. Specifically, the book provides a detailed discussion on observability, controllability, and stabilizability under sparsity constraints. It also presents efficient, systematic, and rigorous approaches to estimating the sparse initial states and designing sparse control inputs. It also gives background materials from real analysis and probability theory and includes applications in network control, wireless communication, and image processing. It serves as a compendious source for graduate students and researchers in signal processing and control systems to acquire a thorough understanding of the underlying unified themes. The academic and industrial professionals working on the design and optimization of sparsity-constrained systems also benefit from the exposure to the array of recent works on linear dynamical systems and related mathematical machinery.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 116 pp. Englisch.
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