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Tuning of the continuous-time Kalman filter from sampled data

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4 Author(s)
Haverkamp, B.R.J. ; Delft Univ. of Technol., Netherlands ; Verhaegen, M. ; Chou, C.T. ; Johansson, R.

This paper introduces a novel way to identify a stochastic continuous-time state space systems from sampled data. This allows us to tune a continuous-time Kalman filter. The key in solving this identification problem is the use a bank of Laguerre filters, which is used to transform the original system description to a so called w-domain

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American Control Conference, 1999. Proceedings of the 1999  (Volume:6 )

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