Central tendency minimum variance adaptive control

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.<>