January 2020
Intermediate to advanced
158 pages
3h 45m
English
This chapter addresses fundamental aspects about a neural observer for uncertain nonlinear systems with unknown time delays using recurrent high-order neural networks in parallel configuration. This neural network is trained with an algorithm based on the EKF. Performance of the neural observer is presented using simulation tests and real-time tests. Also, the stability analysis based on the Lyapunov approach is included.
neural observer; full-order observer; reduced-order observer; linear induction motor; Lyapunov
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