0
Research Papers

Modeling of Dynamic Systems Using Orthogonal Endocrine Adaptive Neuro-Fuzzy Inference Systems

[+] Author and Article Information
Marko Milojković

Assistant Professor
Faculty of Electronic Engineering,
Department of Control Systems,
University of Niš,
Aleksandra Medvedeva 14,
Niš 18000, Republic of Serbia
e-mail: marko.milojkovic@elfak.ni.ac.rs

Dragan Antić

Professor
Faculty of Electronic Engineering,
Department of Control Systems,
University of Niš,
Aleksandra Medvedeva 14,
Niš 18000, Republic of Serbia
e-mail: dragan.antic@elfak.ni.ac.rs

Miroslav Milovanović

Faculty of Electronic Engineering,
Department of Control Systems,
University of Niš,
Aleksandra Medvedeva 14,
Niš 18000, Republic of Serbia
e-mail: miroslav.b.milovanovic@elfak.ni.ac.rs

Saša S. Nikolić

Assistant Professor
Faculty of Electronic Engineering,
Department of Control Systems,
University of Niš,
Aleksandra Medvedeva 14,
Niš 18000, Republic of Serbia
e-mail: sasa.s.nikolic@elfak.ni.ac.rs

Staniša Perić

Faculty of Electronic Engineering,
Department of Control Systems,
University of Niš,
Aleksandra Medvedeva 14,
Niš 18000, Republic of Serbia
e-mail: stanisa.peric@elfak.ni.ac.rs

Muhanad Almawlawe

Faculty of Electronic Engineering,
Department of Control Systems,
University of Niš,
Aleksandra Medvedeva 14,
Niš 18000, Republic of Serbia
e-mail: muhanadhashim@gmail.com

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received March 9, 2015; final manuscript received May 29, 2015; published online July 10, 2015. Assoc. Editor: Dumitru I. Caruntu.

J. Dyn. Sys., Meas., Control 137(9), 091013 (Jul 10, 2015) (6 pages) Paper No: DS-15-1098; doi: 10.1115/1.4030758 History: Received March 09, 2015

This paper presents a new method for designing adaptive neuro-fuzzy inference systems (ANFIS). Improvements are made by introducing specially developed orthogonal functions into the very structure of ANFIS, specifically, into the layer that imitates Sugeno stile defuzzification. These functions are specially tailored for analysis and synthesis of dynamic systems and they also contain an adaptive measure of the variability of the systems operating in a real environment, which can be implemented inside the ANFIS as hormonal effect.

FIGURES IN THIS ARTICLE
<>
Copyright © 2015 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Grahic Jump Location
Fig. 1

The structure of OEANFIS with two inputs

Grahic Jump Location
Fig. 2

The modular servo system setup

Grahic Jump Location
Fig. 3

Input and output training sets

Grahic Jump Location
Fig. 4

Training data and model responses

Grahic Jump Location
Fig. 5

Checking data and model responses

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In