Title :
Compensation for gradient-based adaptive observers
Author_Institution :
Dept. of Electr. Eng., Louisville Univ., KY, USA
fDate :
31 Mar-2 Apr 1996
Abstract :
A method of compensating adaptive observers for actuator noise is proposed. The main idea of the method is to filter the output error and use this filtered signal to adjust the state and parameter estimates of the observer. The error filter can be any system which satisfies certain very general criteria. A simulation is presented in which errors resulting from a sinusoidal input disturbance are negated by filtering the output error with a notch filter
Keywords :
compensation; filtering theory; linear systems; noise; notch filters; parameter estimation; state estimation; actuator noise; compensation; error filter; gradient-based adaptive observers; notch filter; output error; sinusoidal input disturbance; Actuators; Adaptive control; Asymptotic stability; Error correction; Filtering; Nonlinear filters; Observers; Parameter estimation; Programmable control; State estimation;
Conference_Titel :
System Theory, 1996., Proceedings of the Twenty-Eighth Southeastern Symposium on
Conference_Location :
Baton Rouge, LA
Print_ISBN :
0-8186-7352-4
DOI :
10.1109/SSST.1996.493532
