Ahmadreza Amirzadeh

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a r t i c l e i n f o a b s t r a c t In this paper, the interaction and combination of Fuzzy Fading Memory (FFM) technique and Augmented Kalman Filtering (AUKF) method are presented for the state estimation of non-linear dynamic systems in presence of maneuver. It is shown that the AUKF method in conjunction with the FFM technique (FFM-AUKF) can estimate(More)
In recent decades, evolutionary algorithms, as a powerful optimization tool, have been used in various areas of studies and applications. Some special features of these methods including vast ranges of applications, ease of use and their ability to yield results close to the real optimal solutions make them successful and popular. In optimization(More)
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