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This paper proposes a novel anti-swing control strategy for an overhead crane. The controller includes both position regulation and anti-swing control. Since the crane model is not exactly known, an intelligent technique-fuzzy system is used to compensate friction, gravity as well as the coupling between position and anti-swing control. Real-time experiments are presented comparing this new stable anti-swing PD control strategy with regular crane controllers.