Distributed optimal control problems driven by space-time fractional parabolic equations

Q4 Engineering
Vaibhav Mehandiratta, M. Mehra, G. Leugering
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引用次数: 5

Abstract

Abstract We study distributed optimal control problems, governed by space-time fractional parabolic equations (STFPEs) involving time-fractional Caputo derivatives and spatial fractional derivatives of Sturm-Liouville type. We first prove existence and uniqueness of solutions of STFPEs on an open bounded interval and study their regularity. Then we show existence and uniqueness of solutions to a quadratic distributed optimal control problem. We derive an adjoint problem using the right-Caputo derivative in time and provide optimality conditions for the control problem. Moreover, we propose a finite difference scheme to find the approximate solution of the considered optimal control problem. In the proposed scheme, the well-known L1 method has been used to approximate the time-fractional Caputo derivative, while the spatial derivative is approximated using the Grünwald-Letnikov formula. Finally, we demonstrate the accuracy and the performance of the proposed difference scheme via examples.
时空分数抛物型方程驱动的分布式最优控制问题
摘要我们研究了由时空分数阶抛物型方程(STFPE)控制的分布式最优控制问题,该方程涉及Sturm-Liouville型的时间分数阶Caputo导数和空间分数阶导数。我们首先证明了STFPE在开有界区间上解的存在性和唯一性,并研究了它们的正则性。然后我们证明了一个二次分布最优控制问题解的存在性和唯一性。我们使用时间上的右Caputo导数导出了一个伴随问题,并为控制问题提供了最优性条件。此外,我们提出了一个有限差分格式来寻找所考虑的最优控制问题的近似解。在所提出的方案中,使用众所周知的L1方法来近似时间分数Caputo导数,而使用Grünwald Letnikov公式来近似空间导数。最后,我们通过实例验证了所提出的差分格式的准确性和性能。
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来源期刊
Control and Cybernetics
Control and Cybernetics 工程技术-计算机:控制论
CiteScore
0.50
自引率
0.00%
发文量
0
期刊介绍: The field of interest covers general concepts, theories, methods and techniques associated with analysis, modelling, control and management in various systems (e.g. technological, economic, ecological, social). The journal is particularly interested in results in the following areas of research: Systems and control theory: general systems theory, optimal cotrol, optimization theory, data analysis, learning, artificial intelligence, modelling & identification, game theory, multicriteria optimisation, decision and negotiation methods, soft approaches: stochastic and fuzzy methods, computer science,
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