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Optimal approximation of fractional derivatives through discrete-time fractions using genetic algorithms

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This study addresses the optimization of rational fraction approximations for the discrete-time calculation of fractional derivatives. The article starts by analyzing the standard techniques based on Taylor series and Padé expansions. In a second phase the paper re-evaluates the problem in an optimization perspective by tacking advantage of the flexibility of the genetic algorithms.

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Fractional derivatives Fractional calculus Optimization Genetic algorithms

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Elsevier

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