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On Adaptive Boostin...
On Adaptive Boosting for System Identification
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- Bjurgert, Johan (författare)
- KTH,Reglerteknik,ACCESS Linnaeus Centre
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- Valenzuela, Patricio E. (författare)
- KTH,Reglerteknik,ACCESS Linnaeus Centre
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- Rojas, Cristian R., 1980- (författare)
- KTH,Reglerteknik,ACCESS Linnaeus Centre
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2018
- 2018
- Engelska.
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Ingår i: IEEE Transactions on Neural Networks and Learning Systems. - : Institute of Electrical and Electronics Engineers (IEEE). - 2162-237X .- 2162-2388. ; 29:9, s. 4510-4514
- 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
Stäng
- In the field of machine learning, the algorithm Adaptive Boosting has been successfully applied to a wide range of regression and classification problems. However, to the best of the authors' knowledge, the use of this algorithm to estimate dynamical systems has not been exploited. In this brief, we explore the connection between Adaptive Boosting and system identification, and give examples of an identification method that makes use of this connection. We prove that the resulting estimate converges to the true underlying system for an output-error model structure under reasonable assumptions in the large sample limit and derive a bound of the model mismatch for the noise-free case.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Nyckelord
- Adaptive algorithms
- adaptive boosting
- dynamical systems
- orthonormal basis functions
- system identification
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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