2020
DOI: 10.3390/math8122139
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Controllability of Nonlinear Fractional Dynamical Systems with a Mittag–Leffler Kernel

Abstract: This paper is concerned with controllability of nonlinear fractional dynamical systems with a Mittag–Leffler kernel. First, the solution of fractional dynamical systems with a Mittag–Leffler kernel is given by Laplace transform. In addition, one necessary and sufficient condition for controllability of linear fractional dynamical systems with Mittag–Leffler kernel is established. On this basis, we obtain one sufficient condition to guarantee controllability of nonlinear fractional dynamical systems with a Mitt… Show more

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Cited by 6 publications
(2 citation statements)
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“…They significantly contribute in the analysis and design of control systems [17]. Recently, numerous researchers have investigated generalizing the fundamental controllability principles to the domain of fractional-order control systems, see [18][19][20], and the references cited therein.…”
Section: θ(T)mentioning
confidence: 99%
“…They significantly contribute in the analysis and design of control systems [17]. Recently, numerous researchers have investigated generalizing the fundamental controllability principles to the domain of fractional-order control systems, see [18][19][20], and the references cited therein.…”
Section: θ(T)mentioning
confidence: 99%
“…Recently, many authors investigated the controllability of fractional differential equations by using various techniques. In papers [16][17][18][19][20], the researchers discussed the controllability of various nonlinear fractional differential equations with the help of semigroup theory and fixed point theorems, as for the papers [21][22][23][24][25][26][27], the authors used Mittag-Leffler function and fixed point theorems to investigate controllability for fractional differential equations. Delay differential equations with state-dependent delay arise normally from the modelling of infectious disease transmission, the modelling of immune response systems and the modelling of respiration, where the delay is due to the time required to accumulate an appropriate dosage of infection or antigen concentration [28].…”
Section: Issn: 0067-2904mentioning
confidence: 99%