Title :
An implicit adaptation algorithm for a linear model reference control system
Author :
Mabius, L. ; Kaufman, H.
Author_Institution :
Rensselaer Polytechnic Institute, Troy, New York
Abstract :
This paper presents a stable implicit adaptation algorithm for model reference control. The constraints for stability are found using Lyapunov´s second method and do not depend on perfect model following between the system and the reference model. Methods are proposed for satisfying these constraints without estimating the parameters on which the constraints depend.
Keywords :
Adaptive control; Control system synthesis; Control systems; Error correction; Programmable control; Stability; State estimation; State feedback; Systems engineering and theory; Vectors;
Conference_Titel :
Decision and Control including the 14th Symposium on Adaptive Processes, 1975 IEEE Conference on
Conference_Location :
Houston, TX, USA
DOI :
10.1109/CDC.1975.270626
