Title :
Central tendency minimum variance adaptive control
Author :
Ryall, T. ; Moore, J.B.
Author_Institution :
Aeronaut. Res. Lab., Melbourne, Vic., Australia
fDate :
3/1/1989 12:00:00 AM
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;
Journal_Title :
Automatic Control, IEEE Transactions on