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Closed loop experim...
Closed loop experiment design for linear time invariant dynamical systems via LMIs
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- Hjalmarsson, Håkan (author)
- KTH,Reglerteknik
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- Jansson, Henrik (author)
- KTH,Reglerteknik
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(creator_code:org_t)
- Elsevier BV, 2008
- 2008
- English.
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In: Automatica. - : Elsevier BV. - 0005-1098 .- 1873-2836. ; 44:3, s. 623-636
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- All stationary experimental conditions corresponding to a discrete-time linear time-invariant causal internally stable closed loop with real rational system and feedback controller are characterized using the Youla-Kucera parametrization. Finite dimensional parametrizations of the input spectrum and the Youla-Kucera parameter allow a wide range of closed loop experiment design problems, based on the asymptotic (in the sample size) covariance matrix for the estimated parameters, to be recast as computationally tractable convex optimization problems such as semi-definite programs. In particular, for Box-Jenkins models, a finite dimensional parametrization is provided which is able to generate all possible asymptotic covariance matrices. As a special case, the very common situation of a fixed controller during the identification experiment can be handled and optimal reference signal spectra can be computed subject to closed loop signal constraints. Finally, a brief numerical comparison with closed loop experiment design based on a high model order variance expression is presented.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- identification
- experiment design
- closed loop
- Automatic control
- Reglerteknik
- SRA - ICT
- SRA - Informations- och kommunikationsteknik
Publication and Content Type
- ref (subject category)
- art (subject category)
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