Search preferences
Direkt zu den wichtigsten Suchergebnissen

Suchfilter

Produktart

  • Alle Product Types 
  • Bücher (6)
  • Magazine & Zeitschriften (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Comics (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Noten (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Kunst, Grafik & Poster (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Fotografien (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Karten (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Manuskripte & Papierantiquitäten (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)

Weitere Eigenschaften

  • Erstausgabe (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Signiert (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Schutzumschlag (Keine weiteren Ergebnisse entsprechen dieser Verfeinerung)
  • Angebotsfoto (4)

Sprache (1)

Preis

Benutzerdefinierte Preisspanne (EUR)

Land des Verkäufers

  • Söderström, Torsten

    Verlag: Cham, Springer., 2018

    ISBN 10: 3319750003 ISBN 13: 9783319750002

    Sprache: Englisch

    Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Deutschland

    Verbandsmitglied: GIAQ ILAB VDA

    Verkäuferbewertung 4 von 5 Sternen 4 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

    Verkäufer kontaktieren

    EUR 3,00 für den Versand innerhalb von/der Deutschland

    Versandziele, Kosten & Dauer

    Anzahl: 3 verfügbar

    In den Warenkorb

    XXVII, 485 p. Hardcover. Communications and Control Engineering. Sprache: Englisch.

  • Torsten Söderström

    Verlag: Springer International Publishing, 2018

    ISBN 10: 3030091252 ISBN 13: 9783030091255

    Sprache: Englisch

    Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

    Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

    Verkäufer kontaktieren

    Kostenlos für den Versand innerhalb von/der Deutschland

    Versandziele, Kosten & Dauer

    Anzahl: 1 verfügbar

    In den Warenkorb

    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an overview of the different errors-in-variables (EIV) methods that can be used for system identification. Readers will explore the properties of an EIV problem. Such problems play an important role when the purpose is the determination of the physical laws that describe the process, rather than the prediction or control of its future behaviour. EIV problems typically occur when the purpose of the modelling is to get physical insight into a process. Identifiability of the model parameters for EIV problems is a non-trivial issue, and sufficient conditions for identifiability are given. The author covers various modelling aspects which, taken together, can find a solution, including the characterization of noise properties, extension to multivariable systems, and continuous-time models. The book finds solutions that are constituted of methods that are compatible with a set of noisy data, which traditional approaches to solutions, such as (total) least squares, do not find. A number of identification methods for the EIV problem are presented. Each method is accompanied with a detailed analysis based on statistical theory, and the relationship between the different methods is explained. A multitude of methods are covered, including: instrumental variables methods; methods based on bias-compensation; covariance matching methods; and prediction error and maximum-likelihood methods. The book shows how many of the methods can be applied in either the time or the frequency domain and provides special methods adapted to the case of periodic excitation. It concludes with a chapter specifically devoted to practical aspects and user perspectives that will facilitate the transfer of the theoretical material to application in real systems. Errors-in-Variables Methods in System Identification gives readers the possibility of recovering true system dynamics from noisy measurements, while solving over-determined systems of equations, making it suitable for statisticians and mathematicians alike. The book also acts as a reference for researchers and computer engineers because of its detailed exploration of EIV problems.

  • Torsten Söderström

    Verlag: Springer-Verlag Gmbh, 2018

    ISBN 10: 3319750003 ISBN 13: 9783319750002

    Sprache: Englisch

    Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

    Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

    Verkäufer kontaktieren

    Kostenlos für den Versand innerhalb von/der Deutschland

    Versandziele, Kosten & Dauer

    Anzahl: 1 verfügbar

    In den Warenkorb

    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an overview of the different errors-in-variables (EIV) methods that can be used for system identification. Readers will explore the properties of an EIV problem. Such problems play an important role when the purpose is the determination of the physical laws that describe the process, rather than the prediction or control of its future behaviour. EIV problems typically occur when the purpose of the modelling is to get physical insight into a process. Identifiability of the model parameters for EIV problems is a non-trivial issue, and sufficient conditions for identifiability are given. The author covers various modelling aspects which, taken together, can find a solution, including the characterization of noise properties, extension to multivariable systems, and continuous-time models. The book finds solutions that are constituted of methods that are compatible with a set of noisy data, which traditional approaches to solutions, such as (total) least squares, do not find. A number of identification methods for the EIV problem are presented. Each method is accompanied with a detailed analysis based on statistical theory, and the relationship between the different methods is explained. A multitude of methods are covered, including: instrumental variables methods; methods based on bias-compensation; covariance matching methods; and prediction error and maximum-likelihood methods. The book shows how many of the methods can be applied in either the time or the frequency domain and provides special methods adapted to the case of periodic excitation. It concludes with a chapter specifically devoted to practical aspects and user perspectives that will facilitate the transfer of the theoretical material to application in real systems. Errors-in-Variables Methods in System Identification gives readers the possibility of recovering true system dynamics from noisy measurements, while solving over-determined systems of equations, making it suitable for statisticians and mathematicians alike. The book also acts as a reference for researchers and computer engineers because of its detailed exploration of EIV problems.

  • Torsten Söderström

    Verlag: Springer International Publishing, Springer International Publishing Dez 2018, 2018

    ISBN 10: 3030091252 ISBN 13: 9783030091255

    Sprache: Englisch

    Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland

    Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

    Verkäufer kontaktieren

    Kostenlos für den Versand innerhalb von/der Deutschland

    Versandziele, Kosten & Dauer

    Anzahl: 2 verfügbar

    In den Warenkorb

    Taschenbuch. Zustand: Neu. Neuware -This book presents an overview of the different errors-in-variables (EIV) methods that can be used for system identification. Readers will explore the properties of an EIV problem. Such problems play an important role when the purpose is the determination of the physical laws that describe the process, rather than the prediction or control of its future behaviour. EIV problems typically occur when the purpose of the modelling is to get physical insight into a process. Identifiability of the model parameters for EIV problems is a non-trivial issue, and sufficient conditions for identifiability are given. The author covers various modelling aspects which, taken together, can find a solution, including the characterization of noise properties, extension to multivariable systems, and continuous-time models. The book finds solutions that are constituted of methods that are compatible with a set of noisy data, which traditional approaches to solutions, such as (total) least squares, do not find.A number of identification methods for the EIV problem are presented. Each method is accompanied with a detailed analysis based on statistical theory, and the relationship between the different methods is explained. A multitude of methods are covered, including:instrumental variables methods;methods based on bias-compensation;covariance matching methods; andprediction error and maximum-likelihood methods.The book shows how many of the methods can be applied in either the time or the frequency domain and provides special methods adapted to the case of periodic excitation. It concludes with a chapter specifically devoted to practical aspects and user perspectives that will facilitate the transfer of the theoretical material to application in real systems.Errors-in-Variables Methods in System Identification gives readers the possibility of recovering true system dynamics from noisy measurements, while solving over-determined systems of equations, making it suitable for statisticians and mathematicians alike. The book also acts as a reference for researchers and computer engineers because of its detailed exploration of EIV problems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 516 pp. Englisch.

  • Torsten Söderström

    Verlag: Springer-Verlag Gmbh Apr 2018, 2018

    ISBN 10: 3319750003 ISBN 13: 9783319750002

    Sprache: Englisch

    Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland

    Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

    Verkäufer kontaktieren

    Kostenlos für den Versand innerhalb von/der Deutschland

    Versandziele, Kosten & Dauer

    Anzahl: 2 verfügbar

    In den Warenkorb

    Buch. Zustand: Neu. Neuware -This book presents an overview of the different errors-in-variables (EIV) methods that can be used for system identification. Readers will explore the properties of an EIV problem. Such problems play an important role when the purpose is the determination of the physical laws that describe the process, rather than the prediction or control of its future behaviour. EIV problems typically occur when the purpose of the modelling is to get physical insight into a process. Identifiability of the model parameters for EIV problems is a non-trivial issue, and sufficient conditions for identifiability are given. The author covers various modelling aspects which, taken together, can find a solution, including the characterization of noise properties, extension to multivariable systems, and continuous-time models. The book finds solutions that are constituted of methods that are compatible with a set of noisy data, which traditional approaches to solutions, such as (total) least squares, do not find.A number of identification methods for the EIV problem are presented. Each method is accompanied with a detailed analysis based on statistical theory, and the relationship between the different methods is explained. A multitude of methods are covered, including:instrumental variables methods;methods based on bias-compensation;covariance matching methods; andprediction error and maximum-likelihood methods.The book shows how many of the methods can be applied in either the time or the frequency domain and provides special methods adapted to the case of periodic excitation. It concludes with a chapter specifically devoted to practical aspects and user perspectives that will facilitate the transfer of the theoretical material to application in real systems.Errors-in-Variables Methods in System Identification gives readers the possibility of recovering true system dynamics from noisy measurements, while solving over-determined systems of equations, making it suitable for statisticians and mathematicians alike. The book also acts as a reference for researchers and computer engineers because of its detailed exploration of EIV problems.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 485 pp. Englisch.

  • Söderström, Torsten

    Verlag: Springer, 2018

    ISBN 10: 3319750003 ISBN 13: 9783319750002

    Sprache: Englisch

    Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich

    Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

    Verkäufer kontaktieren

    EUR 11,79 für den Versand von Vereinigtes Königreich nach Deutschland

    Versandziele, Kosten & Dauer

    Anzahl: 2 verfügbar

    In den Warenkorb

    Hardcover. Zustand: Brand New. 485 pages. 9.25x6.10x1.22 inches. In Stock.