DocumentCode :
981389
Title :
Central tendency minimum variance adaptive control
Author :
Ryall, T. ; Moore, J.B.
Author_Institution :
Aeronaut. Res. Lab., Melbourne, Vic., Australia
Volume :
34
Issue :
3
fYear :
1989
fDate :
3/1/1989 12:00:00 AM
Firstpage :
367
Lastpage :
371
Abstract :
The authors propose designing indirect adaptive controllers using measures of central tendency of the a posteriori probability function of the control for parameters. That is, given a knowledge of plant uncertainty at each time instant from estimation algorithms, and a controller design rule, controller parameters are sought which maximize the likelihood of achieving the control objectives. The particular case of adaptive minimum variance control is studied in detail.<>
Keywords :
adaptive control; control system synthesis; parameter estimation; probability; adaptive minimum variance control; central tendency; control system synthesis; design; indirect adaptive controllers; parameter estimation; probability; Adaptive control; Bayesian methods; Centralized control; Convergence; Extraterrestrial measurements; Parameter estimation; Poles and zeros; Programmable control; Signal design; Stochastic processes;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.16437
Filename :
16437
Link To Document :
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