Title :
Stochastic convergence analysis of model reference adaptive controllers
Author_Institution :
Stanford University, Stanford, CA
Abstract :
Previously suggested model reference adaptive schemes are analyzed with respect to convergence in a stochastic environment. The role of different filtering polynomials is clarified and it is pointed out which algorithms seem favorable from the convergence point of view.
Keywords :
Adaptive control; Algorithm design and analysis; Convergence; Fuzzy control; Laboratories; Polynomials; Programmable control; Regulators; Stochastic processes; Stochastic systems;
Conference_Titel :
Decision and Control including the Symposium on Adaptive Processes, 1980 19th IEEE Conference on
Conference_Location :
Albuquerque, NM, USA
DOI :
10.1109/CDC.1980.271979
