Notice of Violation of IEEE Publication Principles: Neural Network Based Intelligent Process Control System

Notice of Violation of IEEE Publication Principles

“Neural Network Based Intelligent Process Control System”
by D.B. Kadam, A.B. Patil, K.P. Paradeshi
in the Proceedings of the International Conference on Recent Trends in Information, Telecommunication and Computing, March 2010, pp. 356-358

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE’s Publication Principles.

This paper is a duplication of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

“On-Line Self-Tuning ANN-Based Speed Control of a PM DC Motor”
by M. Azizur Rahman and M. Ashraful Hoque
in the IEEE/ASME Transactions on Mechatronics, Vol 2, No 3, September 1997, pp. 169-178


This paper proposes the speed control of a PM DC motor using ANN. The novelty of this paper lies in the application of Neural Network. The performance of the proposed system; ANN Based speed control of a PM DC motor drive has been compared with the PI based speed control of a PM DC motor drive. The entire system has been modeled using MATLAB 7.1 tool box. It has been found that the comparative results indicate that the ANN-based system is clearly superior, particularly in the case of parameter variations and load disturbances, because of the online weights and biases updating feature of the ANN.