On zero locations for sampled stochastic systems

Zero locations of stochastic models have significant influence on optimal prediction algorithms as well as the convergence speed of identification method. The possible zero locations for a sampled stochastic system are examined. In particular, it is shown and numerically illustrated that the sampled zeros can appear only in a restricted set within the unit circle. A complete analysis is given for second-order systems.