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Juan J. Trujillo

Researcher at University of La Laguna

Publications -  157
Citations -  20004

Juan J. Trujillo is an academic researcher from University of La Laguna. The author has contributed to research in topics: Fractional calculus & Nonlinear system. The author has an hindex of 39, co-authored 156 publications receiving 18141 citations. Previous affiliations of Juan J. Trujillo include Spanish National Research Council.

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A new look into the discrete-time fractional calculus: derivatives and exponentials

TL;DR: In this article, a derivative based discrete-time signal processing is presented, where both nabla (forward) and delta (backward) derivatives are studied and generalised including the fractional case.
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Controllability of nonlinear stochastic fractional neutral systems with multiple time varying delays in control

TL;DR: In this paper, sufficient conditions for relative controllability of stochastic fractional neutral systems with bounded operator and multiple time varying delay in the control are obtained using an equivalent nonlinear integral equation to the system and Banach contraction principle.
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A generalized power series and its application in the inversion of transfer functions

TL;DR: By applying a general approach to decompose a Laplace transform into a Laurent like series, the algorithm allows the inversion of a broad class of Laplace transforms and obtains a power series that generalizes the Taylor and MacLaurin series.
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The Time Fractional Schrödinger Equation on Hilbert Space

TL;DR: In this paper, the authors studied the linear fractional Schrodinger equation on a Hilbert space, with a fractional time derivative of order (0 < α < 1, 1 < α > 0) and a self-adjoint generator A. Using the spectral theorem, they proved existence and uniqueness of strong solutions and showed that the solutions are governed by an operator solution family.
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An extended elastic law to represent non-linear elastic behaviour: Application in computational metal forming

TL;DR: In this paper, an extension of the classical elastic law is presented to represent linear and non-linear behavior for computational metal forming purposes, based on a stress-strain relationship given by an integral equation, its kernel characterising the mentioned complex behaviour.