32 resultados para fractional predictor-corrector method


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This paper examines modern economic growth according to the multidimensional scaling (MDS) method and state space portrait (SSP) analysis. Electing GDP per capita as the main indicator for economic growth and prosperity, the long-run perspective from 1870 to 2010 identifies the main similarities among 34 world partners’ modern economic growth and exemplifies the historical waving mechanics of the largest world economy, the USA. MDS reveals two main clusters among the European countries and their old offshore territories, and SSP identifies the Great Depression as a mild challenge to the American global performance, when compared to the Second World War and the 2008 crisis.

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A brief introduction to the fractional continuous-time linear systems is presented. It will be done without needing a deep study of the fractional derivatives. We will show that the computation of the impulse and step responses is very similar to the classic. The main difference lies in the substitution of the exponential by the Mittag-Leffler function. We will present also the main formulae defining the fractional derivatives.

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Fractional central differences and derivatives are studied in this article. These are generalisations to real orders of the ordinary positive (even and odd) integer order differences and derivatives, and also coincide with the well known Riesz potentials. The coherence of these definitions is studied by applying the definitions to functions with Fourier transformable functions. Some properties of these derivatives are presented and particular cases studied.

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Applied Mathematical Modelling, Vol.33

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IEEE CIRCUITS AND SYSTEMS MAGAZINE, Third Quarter

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Journal of Vibration and Control, Vol. 14, Nº 9-10

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Physics Letters A, vol. 372; Issue 7

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International Journal of Mathematics and Mathematical Sciences, Vol.2006

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IET Control Theory & Applications, Vol. 1, Nº 1

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Signal Processing, Vol. 83, nº 11

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Signal Processing, Vol. 83, nº 11

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Nonlinear Dynamics, Vol. 29

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IEE Proceedings - Vision, Image, and Signal Processing, Vol. 147, nº 1

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IEE Proceedings - Vision, Image, and Signal Processing, Vol. 147, nº 1

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Nonlinear Dynamics, Vol. 38