Nonlinear System Identification based on Modified ANFIS

José Kleiton Ewerton da Costa Martins, Fábio Meneghetti Ugulino de Araújo

2015

Abstract

This article aims to present the nonlinear system identification by the method of modified ANFIS. The modified ANFIS is a structure proposed that is based on the traditional structure of ANFIS with some modifications as shown in the article. The importance of the choice of method parameters and its influence on the system will be discussed. For this, the identification of a coupled system of tanks with nonlinear dynamics is performed. System identification will be performed by changing the inputs and order of the consequent model and then will perform a review of the systems. The results confirm the simplicity of modified ANFIS in comparison with the traditional ANFIS while have good performance in the identification of nonlinear systems.

References

  1. Apkarian, J. (1999). Coupled Water Tank Experiments Manual. Canada.
  2. Babuka, R. (2003). Neuro-fuzzy methods for modeling and identification. In Recent Advances in Intelligent Paradigms and Applications.
  3. Fonseca, C. A. G. (2012). Estrutura ANFIS Modificada para Identificao e Controle de Plantas com Ampla Faixa de Operao e no Linearidade Acentuada. Doutorado, UNIVERSIDADE FEDERAL DO RIO GRANDE DO NORTE - UFRN.
  4. Haykin, S. S. (2001). Redes Neurais. Bookman Companhia Ed, 2nd edition.
  5. Jang, C.-T. S. E. M. (1997). Neuro-fuzzy and soft computing A Computation Approach to Learn and Machine Intelligence. Prentice- Hall.
  6. Jang, J.-S. R. (1993). Anfis: Adaptive-network-based fuzzy inference system. In IEEE Transactions on Systems, Man and Cybernetics.
  7. Jang, J. S. R. and Sun, G. T. (1995). Neuro-fuzzy modeling and control. In IEEE.
  8. ZhixiangHow, QuntaiShen, H. (2003). Nonlinear system identificationbased on anfis. In International Conference on Neural Networks & Signal Processing.
Download


Paper Citation


in Harvard Style

Ewerton da Costa Martins J. and Araújo F. (2015). Nonlinear System Identification based on Modified ANFIS . In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-122-9, pages 588-595. DOI: 10.5220/0005544905880595


in Bibtex Style

@conference{icinco15,
author={José Kleiton Ewerton da Costa Martins and Fábio Meneghetti Ugulino de Araújo},
title={Nonlinear System Identification based on Modified ANFIS},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2015},
pages={588-595},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005544905880595},
isbn={978-989-758-122-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Nonlinear System Identification based on Modified ANFIS
SN - 978-989-758-122-9
AU - Ewerton da Costa Martins J.
AU - Araújo F.
PY - 2015
SP - 588
EP - 595
DO - 10.5220/0005544905880595