2019
DOI: 10.1155/2019/1389787
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Distributed Control for Time-Fractional Differential System Involving Schrödinger Operator

Abstract: In this paper, we investigate the distributed optimal control problem for time-fractional differential system involving Schrödinger operator defined on Rn. The time-fractional derivative is considered in the Riemann-Liouville sense. By using the Lax-Milgram lemma, we prove the existence and uniqueness of the solution of this system. For the fractional Dirichlet problem with linear quadratic cost functional, we give some equations and inequalities which provide the necessary and sufficient optimality conditions… Show more

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Cited by 6 publications
(3 citation statements)
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“…Moreover, the optimality conditions are derived. In [19], the distributed control for a time-fractional differential system involving a Schrödinger operator is studied, and the optimality conditions are derived. Furthermore, space-fractional optimal control is introduced.…”
Section: R N Y(x)y(t)mentioning
confidence: 99%
“…Moreover, the optimality conditions are derived. In [19], the distributed control for a time-fractional differential system involving a Schrödinger operator is studied, and the optimality conditions are derived. Furthermore, space-fractional optimal control is introduced.…”
Section: R N Y(x)y(t)mentioning
confidence: 99%
“…Te signifcance of this study may be seen in numerous technological and physical uses where these derivatives can more accurately represent them in the scientifc domains. Also, the fractional application models can give a more precise understanding of the difculties in the real world [12][13][14][15][16]. Below are some fractional calculus principles that will be exploited throughout this study.…”
Section: Introductionmentioning
confidence: 99%
“…It is viewed as a powerful and efficacious tool for modelling linear and nonlinear systems. There are many physical and mathematical applications of the GC and pertinent non-integer order transforms such as electrical circuits, control theory, dynamics of stock markets, dynamics of viscoelastic materials, modelling of diffusion, thermoelasticity, fluid mechanics, stochastic processes, fractional dynamics, signal processing and so on [1][2][3][4][5][6].…”
Section: Introductionmentioning
confidence: 99%