Instrumental Variable Methods For System Identification
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Instrumental Variable Methods For System Identification
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Author : T. Söderström
language : en
Publisher: Springer
Release Date : 1983-09
Instrumental Variable Methods For System Identification written by T. Söderström and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983-09 with Computers categories.
Instrumental Variable Methods For System Identification
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Author : T. Soderstrom
language : en
Publisher:
Release Date : 2014-01-15
Instrumental Variable Methods For System Identification written by T. Soderstrom and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Errors In Variables Methods In System Identification
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Author : Torsten Söderström
language : en
Publisher: Springer
Release Date : 2018-04-07
Errors In Variables Methods In System Identification written by Torsten Söderström and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-07 with Technology & Engineering categories.
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.
System Identification
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Author : Tien C. Hsia
language : en
Publisher: Free Press
Release Date : 1977
System Identification written by Tien C. Hsia and has been published by Free Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1977 with Science categories.
System Identification
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Author : R. Isermann
language : en
Publisher: Elsevier
Release Date : 2014-05-23
System Identification written by R. Isermann and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-23 with Technology & Engineering categories.
System Identification is a special section of the International Federation of Automatic Control (IFAC)-Journal Automatica that contains tutorial papers regarding the basic methods and procedures utilized for system identification. Topics include modeling and identification; step response and frequency response methods; correlation methods; least squares parameter estimation; and maximum likelihood and prediction error methods. After analyzing the basic ideas concerning the parameter estimation methods, the book elaborates on the asymptotic properties of these methods, and then investigates the application of the methods to particular model structures. The text then discusses the practical aspects of process identification, which includes the usual, general procedures for process identification; selection of input signals and sampling time; offline and on-line identification; comparison of parameter estimation methods; data filtering; model order testing; and model verification. Computer program packages are also discussed. This compilation of tutorial papers aims to introduce the newcomers and non-specialists in this field to some of the basic methods and procedures used for system identification.
System Identification
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Author : Torsten Söderström
language : en
Publisher:
Release Date : 1989
System Identification written by Torsten Söderström and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Science categories.
A textbook designed for senior undergraduate and graduate level classroom courses on system identification. Examples and problems. Annotation copyrighted by Book News, Inc., Portland, OR
Trends And Progress In System Identification
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Author : Pieter Eykhoff
language : en
Publisher: Elsevier
Release Date : 2014-05-20
Trends And Progress In System Identification written by Pieter Eykhoff and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-20 with Mathematics categories.
Trends and Progress in System Identification is a three-part book that focuses on model considerations, identification methods, and experimental conditions involved in system identification. Organized into 10 chapters, this book begins with a discussion of model method in system identification, citing four examples differing on the nature of the models involved, the nature of the fields, and their goals. Subsequent chapters describe the most important aspects of model theory; the ""classical"" methods and time series estimation; application of least squares and related techniques for the estimation of dynamic system parameters; the maximum likelihood and error prediction methods; and the modern development of statistical methods. Non-parametric approaches, identification of nonlinear systems by piecewise approximation, and the minimax identification are then explained. Other chapters explore the Bayesian approach to system identification; choice of input signals; and choice and effect of different feedback configurations in system identification. This book will be useful for control engineers, system scientists, biologists, and members of other disciplines dealing withdynamical relations.
Linear Parameter Varying System Identification
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Author : Paulo Lopes dos Santos
language : en
Publisher: World Scientific
Release Date : 2012
Linear Parameter Varying System Identification written by Paulo Lopes dos Santos and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Mathematics categories.
This review volume reports the state-of-the-art in Linear Parameter Varying (LPV) system identification. It focuses on the most recent LPV identification methods for both discrete-time and continuous-time models--
Identification Of Continuous Time Models From Sampled Data
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Author : Hugues Garnier
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-03-13
Identification Of Continuous Time Models From Sampled Data written by Hugues Garnier and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-03-13 with Technology & Engineering categories.
This is the first book dedicated to direct continuous-time model identification for 15 years. It cuts down on time spent hunting through journals by providing an overview of much recent research in an increasingly busy field. The CONTSID toolbox discussed in the final chapter gives an overview of developments and practical examples in which MATLAB® can be used for direct time-domain identification of continuous-time systems. This is a valuable reference for a broad audience.
Identification Of Continuous Systems
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Author : Heinz Unbehauen
language : en
Publisher:
Release Date : 1987
Identification Of Continuous Systems written by Heinz Unbehauen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computers categories.
Bringing together important advances in the field of continuous system identification, this book deals with both parametric and nonparametric methods. It pays special attention to the problem of retaining continuous model parameters in the estimation equations, to which all the existing techniques used in estimating discrete models may be applied. It is aimed at both the academic researcher and the control engineer in industry. The techniques covered range from certain simple numerical or graphical methods applicable to some of the frequently encountered model forms, to attractive recursive algorithms for continuous model identification suitable for real time implementation. These include the recent methods based on orthogonal functions such as those of Walsh and Poisson moment functionals. Some techniques based on stable model adaptation principles are also presented and illustrated.