Title :
Unbiased parameter estimation of linear systems operating under linear feedback
Author_Institution :
Dept. of Math., Univ. of Western Sydney, Kingswood, NSW, Australia
Abstract :
Identification of dynamic systems operating under feedback control is an important issue. A bias correction method was previously proposed for indirect identification of closed-loop systems with disturbances. A key assumption used in deriving this method required that the order of the controller is not less than that of the open-loop plant. In this paper it is shown that this assumption can be removed by prefiltering the input data through a digital prefilter, so that this method can be applied to unbiased identification of closed-loop systems with low order controllers
Keywords :
closed loop systems; feedback; filtering theory; least squares approximations; linear systems; noise; parameter estimation; bias correction method; digital prefilter; dynamic systems; linear feedback; linear systems; low order controllers; prefiltering; unbiased parameter estimation; Australia; Control systems; Equations; Feedback; Linear systems; Mathematics; Open loop systems; Parameter estimation; Vectors;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.572709
