In this paper a parallel implementation of the Kalman filter is proposed, to speed up computation using concurrent calculus techniques and factorisation methods, that help avoid numerical instability problems. The algorithm has been implemented on a measuring system based on the use of a transputer network and a data acquisition board, and applied to measurement on asynchronous motors. Some experimental results obtained with the proposed real system are also shown and the performance is reported.
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