Software based on logic neural networks for digital controllers design

Authors:
Emil Pop;Monica Leba;Maria Pop;Bogdan Sochirca;Alin Badea
Affiliations:
System Control, Applied Informatics and Computer Engineering Department, University of Petrosani, Romania;System Control, Applied Informatics and Computer Engineering Department, University of Petrosani, Romania;System Control, Applied Informatics and Computer Engineering Department, University of Petrosani, Romania;System Control, Applied Informatics and Computer Engineering Department, University of Petrosani, Romania;University of Petrosani, Romania
Venue:
CSECS'09 Proceedings of the 8th WSEAS International Conference on Circuits, systems, electronics, control & signal processing
Year:
2009

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Abstract

In this paper, there was designed a software based on neural networks principle. First, there was defined the logic neuron having as inputs logic signals and as threshold a logic function. From this definition it is possible to determine a general formula for the logic neural networks depending only on the number of inputs. In the next part of the paper, there was built a software platform to design digital controllers. This method is flexible and simple to model, simulate and design logic automation based on PLCs or embedded VLSI solutions.