受控前向-后向双SDE系统最优控制的存在性

IF 0.3 Q4 STATISTICS & PROBABILITY Random Operators and Stochastic Equations Pub Date : 2020-03-20 DOI:10.1515/rose-2020-2031
Abdelhakim Ninouh, Boulakhras Gherbal, Nassima Berrouis
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引用次数: 0

摘要

摘要:我们希望研究一类由前向后双随机微分方程(FBDSDEs)控制的问题的最优控制。首先,在具有Jakubowski s拓扑的Skorokhod {\mathbb{D}}空间上,利用一些紧性和弱收敛技术,证明了非线性FBDSDEs的最优松弛控制是测量值过程的存在性。此外,当满足roxin型凸性条件时,证明了最优松弛控制实际上是严格的。其次,我们证明了线性正向后双SDEs的强最优控制的存在性。进一步,建立了该类系统控制问题的充分和必要最优性条件。这是关于最优控制存在性的第一个定理,适用于正向-反向双系统。
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Existence of optimal controls for systems of controlled forward-backward doubly SDEs
Abstract We wish to study a class of optimal controls for problems governed by forward-backward doubly stochastic differential equations (FBDSDEs). Firstly, we prove existence of optimal relaxed controls, which are measure-valued processes for nonlinear FBDSDEs, by using some tightness properties and weak convergence techniques on the space of Skorokhod 𝔻 {\mathbb{D}} equipped with the S-topology of Jakubowski. Moreover, when the Roxin-type convexity condition is fulfilled, we prove that the optimal relaxed control is in fact strict. Secondly, we prove the existence of a strong optimal controls for a linear forward-backward doubly SDEs. Furthermore, we establish necessary as well as sufficient optimality conditions for a control problem of this kind of systems. This is the first theorem of existence of optimal controls that covers the forward-backward doubly systems.
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来源期刊
Random Operators and Stochastic Equations
Random Operators and Stochastic Equations STATISTICS & PROBABILITY-
CiteScore
0.60
自引率
25.00%
发文量
24
期刊最新文献
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