DocumentCode :
3706957
Title :
Nonlinear system identification based on modified ANFIS
Author :
José Kleiton Ewerton da Costa Martins;Fábio Meneghetti Ugulino de Araújo
Author_Institution :
Universidade Federal do Rio Grande do Norte, Departamento de Engenharia da Computaç
Volume :
1
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
588
Lastpage :
595
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.
Keywords :
"Training","Biological neural networks","Computational modeling","Fuzzy systems","Software","Nonlinear dynamical systems"
Publisher :
ieee
Conference_Titel :
Informatics in Control, Automation and Robotics (ICINCO), 2015 12th International Conference on
Type :
conf
Filename :
7350527
Link To Document :
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