Neural Networks Modeling and Control

Chapter 5

Neural observer based on a RHONN for uncertain nonlinear discrete systems with unknown time delays

Abstract

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.

Keywords

neural observer; full-order observer; reduced-order observer; linear induction motor; Lyapunov

Chapter Outline

• 5.1  Neural observer
• 5.2  Full-order neural observer design based on a RHONN for discrete-time ...