On the identification of a feedback controlled system

Abstract

Various recent identifiability results for feedback systems are discussed and compared. It is shown that the use of a white noise perturbation input leads to robust methods, in that they require a minimum amount of information about the structure of the system. Such a method, using a combined stochastic approximation and covariance factorization algorithm, is briefly presented.