Title :
Strongly consistent parameter estimation by the introduction of strong instrumental variables
Author :
Finigan, Brian M. ; Rowe, Lan H.
Author_Institution :
University of Toronto, Toronto, Ontario, Canada
fDate :
12/1/1974 12:00:00 AM
Abstract :
This paper introduces the concept of strong instrumental variables and strong instrumental matrix sequences for the estimation of the transfer function parameters of discrete-time, time-invariant models of linear systems. It is shown that the strong instrumental variable estimators are strongly consistent and a sufficient condition for the estimator to be asymtotically unbiased is given. Moreover, it is shown that with a persistently exciting signal of appropriate order for an input, "virtually" any discrete-time, time-invariant, linear system model of appropriate order can be used to generate strong instrumental variables.
Keywords :
Linear systems, time-invariant discrete-time; Parameter estimation; Councils; Equations; Instruments; Integrated circuit modeling; Linear systems; Parameter estimation; Random processes; Random variables; Signal generators; Transfer functions;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1974.1100719