DocumentCode :
3073947
Title :
What is an adaptive-learning system?
Author :
Zames, G. ; Wang, L.Y.
Author_Institution :
Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
fYear :
1990
fDate :
5-7 Dec 1990
Firstpage :
2861
Abstract :
A concept of adaptation for feedback control, which is independent of the internal structure or parametrization of the plant, is introduced. The concept depends on notions of feedback optimality and metric information (entropy). An example is provided in the context of the theory of slowly time-varying systems, which shows that adaptive control can achieve better sensitivity than the optimum for nonadaptive control when information is time-varying
Keywords :
adaptive control; feedback; information theory; learning systems; time-varying systems; adaptive control; adaptive systems; entropy; feedback control; learning systems; metric information; time-varying systems; Adaptive control; Adaptive systems; Algebra; Control systems; Feedback control; History; Information entropy; Programmable control; Stability; Time varying systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
Type :
conf
DOI :
10.1109/CDC.1990.203303
Filename :
203303
Link To Document :
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