A new method is developed for the state estimation of linear time-varying discrete systems with unknown inputs. By making use of the two-stage Kalman filtering technique and a new proposed unknown inputs filtering technique, a robust two-stage Kalman filter (RTSKF) which is unaffected by the unknown inputs can be readily derived and serves as an alternative to the Kitanidis' unbiased minimum-variance filter. The application of this new filter is illustrated by optimal filtering for systems with unknown inputs.
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页码:2374 / 2378
页数:5
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[1]
Alouani A. T., 1992, Proceedings of the 1992 American Control Conference (IEEE Cat. No.92CH3072-6), P1784