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Improved Initialization for Nonlinear State-Space Modeling
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- Marconato, A. (author)
- Vrije Universiteit Brüssel (VUB),Vrije Universiteit Brussel (VUB)
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- Sjöberg, Jonas, 1964 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Suykens, J. (author)
- Katholieke Universiteit Leuven
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- (creator_code:org_t)
- 2014
- 2014
- English.
- In: IEEE Transactions on Instrumentation and Measurement. - 1557-9662 .- 0018-9456. ; 63:4, s. 972-980
- Journal article (peer-reviewed)
Abstract
Subject headings
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- This paper discusses a novel initialization algorithmfor the estimation of nonlinear state-space models. Good initialvalues for the model parameters are obtained by identifyingseparately the linear dynamics and the nonlinear terms inthe model. In particular, the nonlinear dynamic problem istransformed into an approximate static formulation, and simpleregression methods are applied to obtain the solution in a fast andefficient way. The proposed method is validated by means of twomeasurement examples: the Wiener-Hammerstein benchmarkproblem, and the identification of a crystal detector.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Keyword
- nonlinear modeling
- Multilayer perceptrons
- state-space models
- system identification
- nonlinear dynamical systems
Publication and Content Type
- art (subject category)
- ref (subject category)
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