Premium
Adaptive control via parameter set estimation
Author(s) -
Kosut Robert L.
Publication year - 1988
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.4480020410
Subject(s) - estimator , a priori and a posteriori , estimation theory , set (abstract data type) , adaptive estimator , measure (data warehouse) , adaptive control , mathematics , control theory (sociology) , mathematical optimization , computer science , construct (python library) , algorithm , control (management) , statistics , data mining , artificial intelligence , philosophy , epistemology , programming language
An adaptive control system is examined where the traditional parameter estimator is replaced by a parameter set estimator which provides a measure of uncertainty of the estimated parameters. it is shown how to construct a parameter set estimator with the property that the true system is always in the model set, and furthermore, how to design the estimation experiment so that the set of uncertainty is as small as possible given some a priori information.