Design of intelligent hybrid supervisory controller based on temporal neural networks and timing modules Online publication date: Sat, 07-Jun-2014
by Magdy M. Abdelhameed; Houshang Darabi
International Journal of Industrial and Systems Engineering (IJISE), Vol. 17, No. 1, 2014
Abstract: This paper investigates the application of temporal neural networks in designing sequence controllers for time and event driven mechatronic manufacturing systems (MMSs). A proposed design of this controller is presented. The proposed design is based on temporal neural network algorithm with timing modules. Adequate guidelines of constructing the controller are presented. These guidelines are applied to design a controller for an industrial application. Functionality of the proposed controller is tested by simulation. Learning process, functionality and main features of this controller are studied and analysed. Theoretical results are presented and discussed. These results prove the proper functionality of the controller to deal with a time and event driven discrete manufacturing system. In addition, the simulation results assure the effectiveness of the proposed controller to outperform the effect of noisy inputs.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Industrial and Systems Engineering (IJISE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook