Application of Adaptive Neural Network Observer in Chaotic Systems

Abstract

Chaos control is an important subject in control theory.Chaos control usually confronts with some problems due to unavailability of states or losing the system characteristics during the modeling process.In this situation, using an appropriate observer in control strategy may overco me the problem.In this paper, states are estimated using an observer without having complete prior information fro m nonlinear term based on neural network.Simu lation results verify performance of the proposed structure in estimating nonlinear term specifically for an online practical use.