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Adaptive Forgetting through Multiple Models and Adaptive Control of Car Dynamics
Linköpings universitet, Institutionen för systemteknik, Reglerteknik. Linköpings universitet, Tekniska högskolan.
1983 (engelsk)Licentiatavhandling, monografi (Annet vitenskapelig)
Abstract [en]

A new recursive identif ication method, Adaptive Forgetting through Multiple Models - AFMM, is presented and evaluated using computer simulations. AFMM is specif ically suited for identification of systems with jumping or rapidly changing parameters. It can be viewed as a particular way of implementing adaptive gains or adaptive forgetting factors for recursive identif ication. The new method essentiallyconsists of multiple Recursive Least Squares (RLS) algorithms running in parallel, each with a corresponding weighting factor. The simulations indicate that AFMM is able to track rapidly changing parameters well, and that the method is robust in several respects.

sted, utgiver, år, opplag, sider
Linköping: Linköping University , 1983. , s. 214
Serie
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 15
Emneord [en]
Adaptive forgetting, Multiple models, Adaptive control, Car dynamics
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-102282Lokal ID: LIU-TEK LIC 1983:10ISBN: 91-7372-719-9 (tryckt)OAI: oai:DiVA.org:liu-102282DiVA, id: diva2:675905
Tilgjengelig fra: 2013-12-05 Laget: 2013-12-04 Sist oppdatert: 2014-01-08bibliografisk kontrollert

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Totalt: 323 treff
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