Real-time recurrent neural state estimation
- Alanis, A.Y.
- Sanchez, E.N.
- Loukianov, A.G.
- Perez, M.A.
Publication date
January 2011
DOI Publisher
Institute of Electrical and Electronics Engineers (IEEE)Abstract
A nonlinear discrete-time neural observer for discrete-time unknown nonlinear systems in presence of external disturbances and parameter uncertainties is presented. It is based on a discrete-time recurrent high-order neural network trained with an extended Kalman-filter based algorithm. This brief includes the stability proof based on the Lyapunov approach. The applicability of the proposed scheme is illustrated by real-time implementation for a three phase induction motor. � 2010 IEEE
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