On sequential identification of a diffusion type process with memory

Abstract

The sequential estimation problem of dynamic parameters in stochastic linear systems with memory is solved. The estimation procedure is based on the maximum likelihood method and yields estimators with guaranteed accuracy in the mean square sense. The proposed procedure works for that cases, when the eigenvalues of the information matrix of the observed process have certain rates of increase. The asymptotic behaviour of the duration of observations is investigated.