2013
DOI: 10.1155/2013/262191
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Approximate Controllability of Sobolev Type Nonlocal Fractional Stochastic Dynamic Systems in Hilbert Spaces

Abstract: We study a class of fractional stochastic dynamic control systems of Sobolev type in Hilbert spaces. We use fixed point technique, fractional calculus, stochastic analysis, and methods adopted directly from deterministic control problems for the main results. A new set of sufficient conditions for approximate controllability is formulated and proved. An example is also given to provide the obtained theory.

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Cited by 27 publications
(13 citation statements)
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“…Kerboua et al [12] proved the approximate controllability of Sobolev type non-local fractional stochastic dynamic systems in Hilbert spaces by using fixed point technique, fractional calculus, stochastic analysis, and methods adopted directly from deterministic control problems. 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%
“…Kerboua et al [12] proved the approximate controllability of Sobolev type non-local fractional stochastic dynamic systems in Hilbert spaces by using fixed point technique, fractional calculus, stochastic analysis, and methods adopted directly from deterministic control problems. 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%
“…Several authors have extended the concept of controllability to infinite‐dimensional systems and established sufficient conditions for the controllability of nonlinear systems in abstract spaces. Among the various approaches to the study of the controllability of nonlinear systems, fixed‐point techniques have been used effectively for these systems . In the fixed‐point method, the controllability problem is transformed into a fixed‐point problem for an appropriate nonlinear operator in a function space …”
Section: Introductionmentioning
confidence: 99%
“…Among the various approaches to the study of the controllability of nonlinear systems, fixed-point techniques have been used effectively for these systems. [15][16][17][18] In the fixed-point method, the controllability problem is transformed into a fixedpoint problem for an appropriate nonlinear operator in a function space. [19][20][21] Second-order differential equations serve as abstract mathematical formulations of many partial differential equations that arise in several problems connected with the transverse motion of an extensible beam, the vibration of hinged bars, and many other physical phenomena.…”
Section: Introductionmentioning
confidence: 99%
“…For more details, see [15,19,22,29,39,43,44,45,47,48] and references cited therein. For the study of differential equations with nonlocal initial conditions, we refer to the papers [11,12,17,19,20,36,37,39,40,42,44,49,50,52].…”
Section: Introductionmentioning
confidence: 99%
“…The biggest difficulty is the analysis of a stochastic control system and stochastic calculations induced by the stochastic process. For more details, see [14,16,19,23,34,36,39,50,52].…”
Section: Introductionmentioning
confidence: 99%