TY - CHAP A1 - Yassine Zahraoui A2 - Mohamed Akherraz ED1 - Dinesh G. Harkut Y1 - 2020-10-28 PY - 2020 T1 - Kalman Filtering Applied to Induction Motor State Estimation N2 - Data assimilation is a process of fusing data with a model for the singular purpose of estimating unknown variables. It can be used, for example, to predict the evolution of the atmosphere at a given point and time. This book examines data assimilation methods including Kalman filtering, artificial intelligence, neural networks, machine learning, and cognitive computing. BT - Dynamic Data Assimilation SP - Ch. 5 UR - https://doi.org/10.5772/intechopen.92871 DO - 10.5772/intechopen.92871 SN - 978-1-83968-084-7 PB - IntechOpen CY - Rijeka Y2 - 2022-01-25 ER -