Neural networks and fuzzy logic in power electronics

Abstract Power electronics has developed rapidly during recent years. It involves the technologies of power semiconductor devices, converter circuits, electrical machines and VLSI circuits, as well as advanced control theory. This paper reviews neural network and fuzzy logic approaches in buck converters, inverters, induction motor drives and DC motor drives. Neural network and fuzzy logic applications are presently one of the most active research areas in power electronics.

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