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On Adaptive Boosting for System Identification

Bjurgert, Johan (author)
KTH,Reglerteknik,ACCESS Linnaeus Centre
Valenzuela, Patricio E. (author)
KTH,Reglerteknik,ACCESS Linnaeus Centre
Rojas, Cristian R., 1980- (author)
KTH,Reglerteknik,ACCESS Linnaeus Centre
 (creator_code:org_t)
Institute of Electrical and Electronics Engineers (IEEE), 2018
2018
English.
In: IEEE Transactions on Neural Networks and Learning Systems. - : Institute of Electrical and Electronics Engineers (IEEE). - 2162-237X .- 2162-2388. ; 29:9, s. 4510-4514
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

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

Adaptive algorithms
adaptive boosting
dynamical systems
orthonormal basis functions
system identification

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