Input-adaptive Kalman-Bucy filtering

Karl G. Brammer · IEEE Transactions on Automatic Control · 1970

The theory of nonlinear filtering (Stratonovitch, Kushner, and Bucy) is applied 1) to real-time identification of the covariance matrix of the input noise in the process model used by Kalman and Bucy [1] and 2) to adaptive mechanization of the matrix Riccati equation and the gain matrix in the Kalman-Bucy filter.

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