Roohollah Barzamini

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Generic generalized minimum variance-based (GMV) controllers have been adopted as efficient control mechanisms especially in presence of measurement noise. However, such controllers exhibit degraded performance with change in process dynamics. To overcome this problem, a novel congestion controller based on active queue management (AQM) strategy for(More)
In this paper a multistage fuzzy controller is designed and implemented on the ball and beam system which is a well-known benchmark in the control area because of its nonlinear, unstable non-minimum phase behavior. The most important property of the proposed controller is its simplicity whiles it fully mimics human's actions for controlling this system. In(More)
The patterns which are presented to a Fuzzy ARTmap network should be preprocessed in such a way that the data are of appropriate clearance. In order to decrease the degree of similarity between the normalized binary patterns, a new method is proposed in which the binary patterns are converted to fuzzy (analogue) patterns. This is done by weighting and(More)
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