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Estimation of unknown system states based on an adaptive neural network and Kalman filter

Bibliographic Details
Journal Title: Procedia CIRP
Authors and Corporations: Kellermann, Christoph, Ostermann, Jörn
In: Procedia CIRP, 99, 2021, p. 656-661
Media Type: E-Article
Language: English
published:
Elsevier BV
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rft.atitle Estimation of unknown system states based on an adaptive neural network and Kalman filter
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rft.date 2021-01-01
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Array ( [rft.aulast] => Ostermann [rft.aufirst] => Jörn )
doi 10.1016/j.procir.2021.03.089
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url http://dx.doi.org/10.1016/j.procir.2021.03.089
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spelling Kellermann, Christoph Ostermann, Jörn 2212-8271 Elsevier BV General Materials Science http://dx.doi.org/10.1016/j.procir.2021.03.089 Estimation of unknown system states based on an adaptive neural network and Kalman filter Procedia CIRP
spellingShingle Kellermann, Christoph, Ostermann, Jörn, Procedia CIRP, Estimation of unknown system states based on an adaptive neural network and Kalman filter, General Materials Science
title Estimation of unknown system states based on an adaptive neural network and Kalman filter
title_full Estimation of unknown system states based on an adaptive neural network and Kalman filter
title_fullStr Estimation of unknown system states based on an adaptive neural network and Kalman filter
title_full_unstemmed Estimation of unknown system states based on an adaptive neural network and Kalman filter
title_short Estimation of unknown system states based on an adaptive neural network and Kalman filter
title_sort estimation of unknown system states based on an adaptive neural network and kalman filter
topic General Materials Science
url http://dx.doi.org/10.1016/j.procir.2021.03.089