Adaptive Forgetting through Multiple Models and Adaptive Control of Car Dynamics
1983 (English)Licentiate thesis, monograph (Other academic)
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.
Place, publisher, year, edition, pages
Linköping: Linköping University , 1983. , 214 p.
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 15
Adaptive forgetting, Multiple models, Adaptive control, Car dynamics
IdentifiersURN: urn:nbn:se:liu:diva-102282Local ID: LIU-TEK LIC 1983:10ISBN: 91-7372-719-9OAI: oai:DiVA.org:liu-102282DiVA: diva2:675905