Errors in Variables Methods System Identification by Söderström Torsten (21 results)
Language: English
Published by Cham, Springer. 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Hardcover
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XXVII, 485 p. Hardcover. Communications and Control Engineering. Sprache: Englisch.
Language: English
Published by Springer International Publishing AG, Cham 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Hardcover
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Hardcover. Condition: new. Hardcover. 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 t…he 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. This book presents an overview of the different errors-in-variables (EIV) methods that can be used for system identification. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Springer 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Softcover
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Taschenbuch. Condition: Neu. Errors-in-Variables Methods in System Identification | Torsten Söderström | Taschenbuch | Communications and Control Engineering | xxvii | Englisch | 2018 | Springer | EAN 9783030091255 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartman…n[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Hardcover
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Condition: New. pp. XXVII, 485 30 illus., 3 illus. in color. 1st ed. 2018 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer International Publishing 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Softcover
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Taschenbuch. Condition: 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 determ…ination 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.
Language: English
Published by Springer 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Softcover
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Condition: New. pp. 485.
Language: English
Published by Springer 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: 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.
Language: English
Published by Springer 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Hardcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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Hardcover. Condition: New. New. book.
Language: English
Published by Springer 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Hardcover
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Hardcover. Condition: Brand New. 485 pages. 9.25x6.10x1.22 inches. In Stock.
Language: English
Published by Springer 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Hardcover
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Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Softcover
- Print on Demand
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Language: English
Published by Springer International Publishing 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Softcover
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Seller: moluna, Greven, , Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Shows the reader how to deal with measurement noises present in both input to and output from a systemAssists readers in establishing the physical laws that describe their processes Compares the .
Language: English
Published by Springer International Publishing 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Hardcover
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Seller: moluna, Greven, , Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Shows the reader how to deal with measurement noises present in both input to and output from a systemAssists readers in establishing the physical laws that describe their processes Compares the .
Language: English
Published by Springer International Publishing Dez 2018 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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 purpo…se 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. 516 pp. Englisch.
Language: English
Published by Springer-Verlag Gmbh Apr 2018 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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 t…he 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. 485 pp. Englisch.
Language: English
Published by Springer, Springer Dez 2018 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 i…s 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 KG, Sachsenplatz 4-6, 1201 Wien 516 pp. Englisch.
Language: English
Published by Springer, Springer Apr 2018 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Hardcover
- Print on Demand
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 d…etermination 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 KG, Sachsenplatz 4-6, 1201 Wien 485 pp. Englisch.
Language: English
Published by Springer 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Hardcover
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Condition: New. Print on Demand pp. XXVII, 485 30 illus., 3 illus. in color.
Language: English
Published by Springer 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
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Condition: New. Print on Demand pp. 485.
Language: English
Published by Springer 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
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Condition: New. PRINT ON DEMAND pp. XXVII, 485 30 illus., 3 illus. in color.
Language: English
Published by Springer 2018
Series: Communications and Control Engineering, Book 45 of 65. Book 45 of 65 - Communications and Control Engineering
- Softcover
- Print on Demand
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Condition: New. PRINT ON DEMAND pp. 485.
