Estimating poles of a linear system using erroneous Markov Parameters

In this paper, we review the partial realization problem (PRP) in an identification framework. Hence the use of erroneous Markov parameters in its solution is considered. The derived algorithm, which requires knowledge of the covariance matrix of these errors, allows to consistently estimate the coefficients of the characteristic polynomial, from which the system poles can be determined.