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Kernel Selection in...
Kernel Selection in Linear System Identification : Part II: A Classical Perspective
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- Chen, Tianshi (författare)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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- Ohlsson, Henrik, 1981- (författare)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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- Goodwin, Graham C. (författare)
- University of Newcastle, Australia
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- Ljung, Lennart, 1946- (författare)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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(creator_code:org_t)
- 2011
- 2011
- Engelska.
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Ingår i: Proceedings of the 50th IEEE Conference on Decision and Control. - 9781612847993 - 9781612848006 ; , s. 4326-4331
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- In this companion paper, the choice of kernels for estimating the impulse response of linear stable systems is considered from a classical, “frequentist”, point of view. The kernel determines the regularization matrix in a regularized least squares estimate of an FIR model. The quality is assessed from a mean square error (MSE) perspective, and measures and algorithms for optimizing the MSE are discussed. The ideas are tested on the same data bank as used in Part I of the companion papers. The resulting findings and conclusions in the two papers are very similar despite the different perspectives.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Nyckelord
- Kernel
- Least squares approximation
- Mean square error methods
- Identification
- Automatic control
- Reglerteknik
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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