DocumentCode :
926274
Title :
Linear quadratic optimal estimation and control with receding horizon
Author :
Thomas, Y.A.
Author_Institution :
Ã\x89cole Nationale Supérieure de Mécanique, Laboratoire d´Automatique, Nantes, France
Volume :
11
Issue :
1
fYear :
1975
Firstpage :
19
Lastpage :
21
Abstract :
Implementation of linear quadratic optimal regulators and Kalman estimators is not straightforward where industrial process control is concerned. This is mainly due to the requirement that many parameters (Q and R matrices, spectral-density matrices) having no direct physical meaning must be chosen a priori. The letter contains simplified optimal algorithms that lead to stationary gains, given by explicit expressions.
Keywords :
Kalman filters; control system synthesis; optimal control; process control; Kalman estimators; industrial process control; linear quadratic optimal estimation; receding horizon control; spectral density matrices; stationary gains;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19750015
Filename :
4236521
Link To Document :
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