Milad Malekzadeh; Alireza Khosravi; Abolfazl Ranjbar Noei; Reza Ghaderi

Application of Adaptive Neural Network Observer in Chaotic Systems

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Author(s)

Milad Malekzadeh ^1,* Alireza Khosravi ¹ Abolfazl Ranjbar Noei ¹ Reza Ghaderi ²

1. Faculty of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran

2. Faculty of Control Eng, Shahid Beheshti Univ., Tehran, Iran

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2014.02.05

Received: 5 Jun. 2013 / Revised: 11 Sep. 2013 / Accepted: 15 Nov. 2013 / Published: 8 Jan. 2014

Index Terms

Nonlinear Observer, Adaptive Neural Network, Chaos Control, Pendulum System, Modified Duffing System

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 overcome the problem. In this paper, states are estimated using an observer without having complete prior information from nonlinear term based on neural network. Simulation results verify performance of the proposed structure in estimating nonlinear term specifically for an online practical use.

Cite This Paper

Milad Malekzadeh, Alireza Khosravi, Abolfazl Ranjbar Noei, Reza Ghaderi, "Application of Adaptive Neural Network Observer in Chaotic Systems", International Journal of Intelligent Systems and Applications(IJISA), vol.6, no.2, pp.37-43, 2014. DOI:10.5815/ijisa.2014.02.05

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International Journal of Intelligent Systems and Applications (IJISA)