REDUCED ORDER FILTERING FOR STOCHASTIC DISCRETE-TIME SYSTEMS WITH UNKNOWN INPUTS

摘要

This paper presents a reduced order unbiased minimum variance estimator for stochastic discrete-time time-varying systems with unknown inputs. The necessary and sufficient conditions for the existence of the obtained filter are given. Stability and convergence conditions are developed for the time-invariant case.