Title :
System models for optimal self-tuning control
Author_Institution :
University of Strathclyde, Department of Electrical Engineering, Glasgow, UK
Abstract :
In most self-tuning control systems measurement noise and disturbance spectra are combined into one effective noise model. In cases where a priori information is available regarding one of these models the separate subsystems can be identified. It is shown that the optimal LQG controller for this case may then give an improved performance relative to an LQG controller based upon a single noise source model.
Keywords :
model reference adaptive control systems; multivariable control systems; noise; optimal control; self-adjusting systems; stochastic systems; LQG; disturbance spectra; linear quadratic Gaussian controller; measurement noise; model reference adaptive control; noise model; optimal self-tuning control; stochastic systems;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19830574
