Control of a loaded induction machine using a feedforward neural network

Neural networks have been the subject of great interest in the control field. They seem to offer good ability to solve complex tasks. In this paper, some results of using a neural network for the nonlinear control of an induction machine's speed are presented. The neural controller is a feedfor...

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Veröffentlicht in:	International journal of systems science Jg. 27; H. 12; S. 1287 - 1295
Hauptverfasser:	CHTOUROU, MOHAMED, DERBEL, NABIL, KAMOUN, MOHAMED BEN ALI
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis Group 01.12.1996 Taylor & Francis
Schlagworte:	Applied sciences Artificial intelligence Computer science; control theory; systems Connectionism. Neural networks Electrical engineering. Electrical power engineering Electrical machines Exact sciences and technology Regulation and control Simulation Induction machine Control synthesis Integrator Speed control Perturbation Neural network Feedforward Non linear system Learning algorithm
ISSN:	0020-7721, 1464-5319
Online-Zugang:	Volltext
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