2014
DOI: 10.14232/ejqtde.2014.1.58
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Approximate controllability of Sobolev type fractional stochastic nonlocal nonlinear differential equations in Hilbert spaces

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Cited by 23 publications
(11 citation statements)
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“…Fractional differential equations have been recognized as one of the best tools to be applied in interdisciplinary field such as viscoelastic materials and electromagnetic problems. For more details, one can refer to [18][19][20][21][22][23][24][25][26][27][28][29] and the references given therein. Recently, there have been some advances in ILC theory of fractional differential systems [30][31][32][33][34][35].…”
Section: Introductionmentioning
confidence: 99%
“…Fractional differential equations have been recognized as one of the best tools to be applied in interdisciplinary field such as viscoelastic materials and electromagnetic problems. For more details, one can refer to [18][19][20][21][22][23][24][25][26][27][28][29] and the references given therein. Recently, there have been some advances in ILC theory of fractional differential systems [30][31][32][33][34][35].…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, a Sobolev-type equation appears in a variety of physical problems such as flow of fluid through fissured rocks, thermodynamics, propagation of long waves of small amplitude and so on [37][38][39]. The existence result of mild solutions of fractional integrodifferential equations of Sobolev type with nonlocal condition in a separable Banach space was studied by using the theory of propagation families as well as the theory of the measures of noncompactness and the condensing maps [6].…”
Section: + U(t) = Au(t) + F (T U(t)) T ∈ (0 B] Imentioning
confidence: 99%
“…Kerboua et al [13] introduced a new notion called fractional stochastic nonlocal condition for establishing approximate controllability of class of fractional stochastic nonlinear differential equations of Sobolev type in Hilbert spaces using Hölder's inequality, fixed point technique, fractional calculus, stochastic analysis and methods adopted directly from deterministic control problems.…”
Section: D Q T [Lx (T)] = (M + M) X (T) + Bu (T) + F (T X (T))mentioning
confidence: 99%