Title :
Adaptive model-reference control of an unknown plant with limited knowledge of model
Author_Institution :
Clarkson College, Potsdam, NY, USA
fDate :
6/1/1977 12:00:00 AM
Abstract :
A method is proposed for the adaptive control of an unknown, minimal phase plant, by suitable choice of its input, so that its output follows the output of a stable reference model. Much less information about the reference model is required in this method than in methods based on the Kalman-Yacobovich lemma.
Keywords :
Adaptive control; Linear systems, time-invariant continuous-time; Adaptive control; Automatic control; Discrete time systems; Econometrics; Equations; Instruments; Parameter estimation; Programmable control; Statistical analysis; Symmetric matrices;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1977.1101523
