DocumentCode
2173850
Title
Multiple-model adaptive estimators: Open problems and future directions
Author
Aguiar, A. Pedro
Author_Institution
ISR/IST Inst. for Syst. & Robot., Inst. Super. Tecnico, Lisbon, Portugal
fYear
2007
fDate
2-5 July 2007
Firstpage
5544
Lastpage
5545
Abstract
Over the past decades there have been a considerable research effort on the subject of adaptive observers. In simple terms, an adaptive observer or estimator can be defined as a process that provides in real time the estimate of the state (or some function of it) of the plant from partial and possibly noise measurements of the inputs and outputs, inexact knowledge of the initial condition and in the presence of unknown parameters in the description of the plant. In many cases, adaptive observers also identifies the unknown parameters.
Keywords
adaptive estimation; noise measurement; observers; adaptive observer; multiple-model adaptive estimators; noise measurements; state estimation; unknown parameters; Adaptation models; Adaptive control; Kalman filters; Observers; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 2007 European
Conference_Location
Kos
Print_ISBN
978-3-9524173-8-6
Type
conf
Filename
7069028
Link To Document