An Approach to Recursive Identification of Abruptly Changing Systems
1980 (English)In: Proceedings of the 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes, 1980, 1026-1031 p.Conference paper (Refereed)
A way to model systems with abruptly changing dynamics is suggested. The parameters of the system are described as realizations of a finite-state Markov chain. It is further discussed how to perform recursive parameter identification for this type of system. A crucial part in the identification algorithm is to estimate the present state of the Markov chain. The effects of some typical rules to do this estimation are examined. Also a procedure which reduces the need for a priori information is given.
Place, publisher, year, edition, pages
1980. 1026-1031 p.
Finite-state Markov chain, Recursive parameter identification, Estimation
IdentifiersURN: urn:nbn:se:liu:diva-102135DOI: 10.1109/CDC.1980.271957OAI: oai:DiVA.org:liu-102135DiVA: diva2:668573
19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes, Albuquerque, NM, USA, December, 1980