Platform independent neural semi-inverse controller

Authors:
Petr Pivoňka;Michal Schmidt
Affiliations:
Department of Control and Instrumentation, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic;Department of Control and Instrumentation, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic
Venue:
NN'05 Proceedings of the 6th WSEAS international conference on Neural networks
Year:
2005

Citing 4
Cited 0

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Abstract

The neural network based semi-inverse controller is similar to an inverse controller. An inverse controller uses an inverse model of the controlled plant. On the other hand, the semi-inverse controller is based on a forward model of the plant. This avoids some of the problems of inversion. The algorithm is suitable for implementation in a PLC. For maximum portability of the algorithm between the development environment and its final implementation in the PLC, the algorithm is implemented on top of an abstract object-oriented layer, which provides platform independency.