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Robust Finite-Horizon Kalman Filtering for Uncertain Discrete-Time Systems

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2 Author(s)
Mohamed, S.M.K. ; Centre for Intell. Syst. Res. (CISR), Deakin Univ., Waurn Ponds, VIC, Australia ; Nahavandi, S.

In this note, we propose a design for a robust finite-horizon Kalman filtering for discrete-time systems suffering from uncertainties in the modeling parameters and uncertainties in the observations process (missing measurements). The system parameter uncertainties are expected in the state, output and white noise covariance matrices. We find the upper-bound on the estimation error covariance and we minimize the proposed upper-bound.

Published in:

Automatic Control, IEEE Transactions on  (Volume:57 ,  Issue: 6 )

Date of Publication:

June 2012

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