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Stochastic Approximation and Its Applications
Buch von Han-Fu Chen
Sprache: Englisch

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Beschreibung
Estimating unknown parameters based on observation data conta- ing information about the parameters is ubiquitous in diverse areas of both theory and application. For example, in system identification the unknown system coefficients are estimated on the basis of input-output data of the control system; in adaptive control systems the adaptive control gain should be defined based on observation data in such a way that the gain asymptotically tends to the optimal one; in blind ch- nel identification the channel coefficients are estimated using the output data obtained at the receiver; in signal processing the optimal weighting matrix is estimated on the basis of observations; in pattern classifi- tion the parameters specifying the partition hyperplane are searched by learning, and more examples may be added to this list. All these parameter estimation problems can be transformed to a root-seeking problem for an unknown function. To see this, let - note the observation at time i. e. , the information available about the unknown parameters at time It can be assumed that the parameter under estimation denoted by is a root of some unknown function This is not a restriction, because, for example, may serve as such a function.
Estimating unknown parameters based on observation data conta- ing information about the parameters is ubiquitous in diverse areas of both theory and application. For example, in system identification the unknown system coefficients are estimated on the basis of input-output data of the control system; in adaptive control systems the adaptive control gain should be defined based on observation data in such a way that the gain asymptotically tends to the optimal one; in blind ch- nel identification the channel coefficients are estimated using the output data obtained at the receiver; in signal processing the optimal weighting matrix is estimated on the basis of observations; in pattern classifi- tion the parameters specifying the partition hyperplane are searched by learning, and more examples may be added to this list. All these parameter estimation problems can be transformed to a root-seeking problem for an unknown function. To see this, let - note the observation at time i. e. , the information available about the unknown parameters at time It can be assumed that the parameter under estimation denoted by is a root of some unknown function This is not a restriction, because, for example, may serve as such a function.
Inhaltsverzeichnis
Robbins-Monro Algorithm.- Stochastic Approximation Algorithms with Expanding Truncations.- Asymptotic Properties of Stochastic Approximation Algorithms.- Optimization by Stochastic Approximation.- Application to Signal Processing.- Application to Systems and Control.
Details
Erscheinungsjahr: 2002
Fachbereich: Analysis
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Nonconvex Optimization and Its Applications
Inhalt: xv
360 S.
ISBN-13: 9781402008061
ISBN-10: 1402008066
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Han-Fu Chen
Hersteller: Springer US
Springer New York
Springer US, New York, N.Y.
Nonconvex Optimization and Its Applications
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 25 mm
Von/Mit: Han-Fu Chen
Erscheinungsdatum: 31.08.2002
Gewicht: 0,735 kg
Artikel-ID: 102644094
Inhaltsverzeichnis
Robbins-Monro Algorithm.- Stochastic Approximation Algorithms with Expanding Truncations.- Asymptotic Properties of Stochastic Approximation Algorithms.- Optimization by Stochastic Approximation.- Application to Signal Processing.- Application to Systems and Control.
Details
Erscheinungsjahr: 2002
Fachbereich: Analysis
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Nonconvex Optimization and Its Applications
Inhalt: xv
360 S.
ISBN-13: 9781402008061
ISBN-10: 1402008066
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Han-Fu Chen
Hersteller: Springer US
Springer New York
Springer US, New York, N.Y.
Nonconvex Optimization and Its Applications
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 25 mm
Von/Mit: Han-Fu Chen
Erscheinungsdatum: 31.08.2002
Gewicht: 0,735 kg
Artikel-ID: 102644094
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