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Convex Bounds for E...
Convex Bounds for Equation Error in Stable Nonlinear Identification
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- Umenberger, Jack (författare)
- Uppsala universitet,Institutionen för informationsteknologi
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- Manchester, Ian R. (författare)
- Univ Sydney, Dept Aerosp Mech & Mechatron Engn, Australian Ctr Field Robot, Sydney, NSW 2006, Australia.
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2019
- 2019
- Engelska.
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Ingår i: IEEE Control Systems Letters. - : Institute of Electrical and Electronics Engineers (IEEE). - 2475-1456. ; 3:1, s. 73-78
- 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
- Equation error, also known as one-step-ahead prediction error, is a common quality-of-fit metric in dynamical system identification and learning. In this letter, we use Lagrangian relaxation to construct a convex upper bound on equation error that can be optimized over a convex set of nonlinear models that are guaranteed to be contracting, a strong form of nonlinear stability. We provide theoretical results on the tightness of the relaxation, and show that the method compares favorably to established methods on a variety of case studies.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Nyckelord
- Identification
- stability of nonlinear systems
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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