NDLI: Application of Neural Network to Hybrid Systems With Binary Inputs

Content Provider	IEEE Xplore Digital Library
Author	Holderbaum, W.
Copyright Year	1990
Abstract	Boolean input systems are in common used in the electric industry. Power supplies include such systems and the power converter represents these. For instance, in power electronics, the control variable are the switching on and off of components as thyristors or transistors. The purpose of this paper is to use neural network (NN) to control continuous systems with Boolean inputs. This method is based on classification of system variations associated with input configurations. The classical supervised backpropagation algorithm is used to train the networks. The training of the artificial neural network and the control of Boolean input systems are presented. The design procedure of control systems is implemented on a nonlinear system. We apply those results to control an electrical system composed of an induction machine and its power converter.
Sponsorship	IEEE Computational Intelligence Society
Page Count	8
File Size	510219
Starting Page	1254
Ending Page	1261
File Format	PDF
ISSN	10459227
Volume Number	18
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Control systems Electric variables control Artificial neural networks Electrical equipment industry Power supplies Power electronics Thyristors Transistors Continuous time systems neural network (NN) Boolean control linear system
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Networks and Communications Computer Science Applications Software

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