Neural Networks Modeling and Control

Chapter 3

Neural identification using recurrent high-order neural networks for discrete nonlinear systems with unknown time delays

Abstract

This chapter addresses fundamental aspects about the identification of uncertain nonlinear systems with unknown time delays using recurrent high-order neural networks trained with an algorithm based on the EKF.

Keywords

system identification; complex nonlinear systems; Lyapunov stability; recurrent neural networks; time-delay systems

Chapter Outline

• 3.1  Identification of the system
• 3.2  Neural identification
• 3.3  Identifier design based on recurrent high-order neural networks for uncertain nonlinear systems with delay
• 3.4  Results of RHONN identifier
  • 3.4.1  Simulation results: Van der Pol oscillator
  • 3.4.2  Simulation ...