2023
DOI: 10.3390/fractalfract7040330
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Enhancing the Mathematical Theory of Nabla Tempered Fractional Calculus: Several Useful Equations

Abstract: Although many applications of fractional calculus have been reported in literature, modeling the physical world using this technique is still a challenge. One of the main difficulties in solving this problem is that the long memory property is necessary, whereas the infinite memory is undesirable. To address this challenge, a new type of nabla fractional calculus with a weight function is formulated, which combines the benefits of nabla fractional calculus and its tempered counterpart, making it highly valuabl… Show more

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Cited by 2 publications
(2 citation statements)
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“…These works were followed by many others in the last 15 years. This had, as a consequence, a parallel introduction of several similar but different formalizations, even from the same author, of both nabla and delta differences, as the Riemann-Liouville-like and Caputo-like formulations, their compositions, and difference equations [22,84,85,89,90,[92][93][94][95][96][97][98][99][100][101][102][103].…”
Section: A Criticalmentioning
confidence: 99%
“…These works were followed by many others in the last 15 years. This had, as a consequence, a parallel introduction of several similar but different formalizations, even from the same author, of both nabla and delta differences, as the Riemann-Liouville-like and Caputo-like formulations, their compositions, and difference equations [22,84,85,89,90,[92][93][94][95][96][97][98][99][100][101][102][103].…”
Section: A Criticalmentioning
confidence: 99%
“…In [18], the authors investigated the asymptotic stability of a non-linear nabla variableorder system. Furthermore, foundational mathematical properties such as the nabla Taylor series and Laplace transform for nabla tempered fractional calculus were explored in [19]. In control systems, the authors designed a discrete-time fractional-order proportionalintegral-derivative (FOPID) controller in [20] using finite impulse response FIR filters and model order reduction methods.…”
Section: Introductionmentioning
confidence: 99%