DocumentCode
274964
Title
A systolic parameter estimator for real-time adaptive control
Author
Gaston, F.M.F. ; Irwin, G.W.
Author_Institution
Queen´´s Univ., Belfast, UK
fYear
1990
fDate
19-22 Mar 1990
Firstpage
111
Lastpage
116
Abstract
Describes a new systolic parameter (or constant state) estimator based upon the square root covariance Kalman filter algorithm. Parameter estimation is a fundamental component of adaptive controllers and explicit self-tuning regulators. The new architecture is compared with one proposed by Shepherd, McWhirter, and Hudson (1988), and it is shown to be potentially more attractive for parallel control applications
Keywords
Kalman filters; adaptive control; parameter estimation; adaptive controllers; architecture; constant state estimator; explicit self-tuning regulators; parallel control applications; parameter estimation; real-time adaptive control; square root covariance Kalman filter algorithm; systolic parameter estimator;
fLanguage
English
Publisher
iet
Conference_Titel
UK IT 1990 Conference
Conference_Location
Southampton
Type
conf
Filename
114276
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