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Study and Overview on System Feedback Representations in Control Modeling with Artificial Neural Networks (ANN) Platform

by Sayanti Roy, Zinkar Das, Subham Ghosh, Biswarup Neogi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 25
Year of Publication: 2013
Authors: Sayanti Roy, Zinkar Das, Subham Ghosh, Biswarup Neogi
10.5120/12125-8228

Sayanti Roy, Zinkar Das, Subham Ghosh, Biswarup Neogi . Study and Overview on System Feedback Representations in Control Modeling with Artificial Neural Networks (ANN) Platform. International Journal of Computer Applications. 69, 25 ( May 2013), 6-10. DOI=10.5120/12125-8228

@article{ 10.5120/12125-8228,
author = { Sayanti Roy, Zinkar Das, Subham Ghosh, Biswarup Neogi },
title = { Study and Overview on System Feedback Representations in Control Modeling with Artificial Neural Networks (ANN) Platform },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 25 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number25/12125-8228/ },
doi = { 10.5120/12125-8228 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:31:15.655460+05:30
%A Sayanti Roy
%A Zinkar Das
%A Subham Ghosh
%A Biswarup Neogi
%T Study and Overview on System Feedback Representations in Control Modeling with Artificial Neural Networks (ANN) Platform
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 25
%P 6-10
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Artificial Neural Network has become one of the most beneficial methods for efficiency improvement of control system engineering and its different aspects. A review study on block diagram representation with effective and satisfactory performance analysis via artificial neural network techniques is proposed in this paper. The implementation of any block diagram with artificial neural networks using MATLAB (R2008b) simulator and the neural modelof the training state and the performance obtained from the graphs is the basic outcome of this paper. A brief literature review on control theory approach with feedback block modeling and signal flow graphs along with the contribution of artificial neural networks in the field of control system is also studied in this paper.

References
  1. U. A. Bakshi,V. UBakshi, 'Principles of Control Systems', First Edition,pp-(4-1),T. Publications Pune, 2009
  2. Ricardo Perussi-e-Silva, ViniciusOliverio, Julio Cesar Rosa-e-Silva, Francisco Jose Candido-dos- Reis, Antonio Alberto Nogueira, OmeroBenedictoPoli-Neto,'The Importance of Computing Systems in Chronic Pelvic Pain Research,International Journal of Computer and Information Technology',Volume 02,pp-(258), 02, March 2013
  3. Woo Chaw Seng, MahsaChitsaz,'Handgrip Strength Evaluation UsingNeuro FuzzyApproach',Malaysian Journal of Computer Science, Vol. 23(3),pp-(167), 2010
  4. Simon Haykin, 'Neural Networks and learning machines', Volume 10,pp. -(15),Prentice Hall, 2009.
  5. John Doyle, Bruce Francis, Allen Tannenbaum "Feedback Control Theory",Macmillan Publishing Co. , pp-01-02, 1990.
  6. S. K. Bhattacharya,Linear control systems:ForPTU,pp-(51-52),D. K(India)PvtLmt,Pearson Education,2011
  7. U. A. Bakshi, V. U Bakshi, 'Automatic Control Systems', First Edition,pp- (6-2),T. Publications Pune,2009
  8. Norman S. Nise, 'Control Systems Engineering',FourthEdition,pp-(258,267),John Wiley & Sons(Asia)Pte. Ltd,2004
  9. Simon Haykin, 'Neural Networks:A Comprehensive Foundation', 2nd Edition,pp-(39-41),Pearson Education,2005
  10. Lishan Kang, XuesongYan,'Advances in Computation and Intelligence: Third International Symposium on Intelligence Computation and Applications',pp-(319), Springer –Verlag B H, 2008
  11. JeffreyL. Elman,'Finding Structure in Time,Cognitive Science', Vol. 14,pp-(24,25), 1990
  12. M. Amini and E. Balarastaghi,'Universal Neural Network Demodulator for SoftwareDefinedRadio',International Journal of Machine Learning and Computing, Vol. 1, No. 3,pp-(307), August 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Feedback Control Block Signal Flow graphs(SFG) Artificial Neural Network (ANN) ANNMATLAB (R2008b) Codingand Elman network

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