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Model Structure Sel...
Model Structure Selection - An Update
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- Hjalmarsson, Håkan (författare)
- KTH,Reglerteknik,ACCESS Linnaeus Centre
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- Rojas, Cristian R. (författare)
- KTH,Reglerteknik,ACCESS Linnaeus Centre
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(creator_code:org_t)
- IEEE, 2014
- 2014
- Engelska.
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Ingår i: 2014 European Control Conference (ECC). - : IEEE. - 9783952426913 ; , s. 2382-2385
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
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- While the topic has a long history in research, model structure selection is still one of the more challenging problems in system identification. In this tutorial we focus on impulse response modelling, and link classical techniques such as hypothesis testing and information criteria (e.g. AIC) to recent model estimation approaches, including regularisation. We discuss the problem from minimum mean-square error and maximum-likelihood 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
- Impulse response
- Impulse testing
- Maximum likelihood
- Classical techniques
- Hypothesis testing
- Information criterion
- Minimum mean-square error
- Model estimation
- Model structure selection
- Regularisation
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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