Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Transactions of the Institute of Measurement and Control
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
