Results 171 to 180 of about 2,483,773 (237)
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Stochastic Invariance for Differential Inclusions
Set-Valued and Variational Analysis, 2000The first objective of this paper is to combine two ways for representing uncertainty through stochastic differential inclusions: a stochastic uncertainty driven by a Wiener process and a contingent uncertainty driven by a set-valued map. The second point consists to extend to stochastic differential inclusions the invariance theorem for nonstochastic ...
Hélène Frankowska +2 more
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Stochastic Differential Inclusions
Set-Valued Stochastic Integrals and Applications, 2020A stochastic differential inclusion is formulated in terms of stochastic differentials of continuous semimartingales. In particular, concepts of strong and weak solutions of the inclusion \[ dx_t\in F(t,x_t)dt+G(t,x_t)dw_t \] are introduced. Here \(F,G:[0,1]\times R^n\to \text{Comp} (R^n)\) are Borel measurable set-valued mappings.
M. Kisielewicz
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On Solvability of Stochastic Differential Inclusions With Current Velocities
Applicable Analysis, 2012An existence of solution theorem is obtained for stochastic differential inclusions given in terms of the so-called current velocities (direct analogues of ordinary velocity of deterministic systems) and quadratic mean derivatives (giving information on the diffusion coefficient) on the flat n-dimensional torus.
Yuri E. Gliklikh, Alla V. Makarova
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Stochastic Differential Inclusions and Applications
Springer Optimization and Its Applications, 2013Michał Kisielewicz
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Weak solutions of stochastic differential Inclusions and their compactness [PDF]
In this paper, we consider weak solutions to stochastic inclusions driven by a semimartingale and a martingale problem formulated for such inclusions. Using this we analyze compactness of the set of solutions. The paper extends some earlier results known
Michta, Mariusz
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Asian journal of control, 2021
In this paper, the approximate controllability of Sobolev‐type Hilfer neutral fractional stochastic differential inclusions in Hilbert spaces is considered.
C. Dineshkumar +3 more
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In this paper, the approximate controllability of Sobolev‐type Hilfer neutral fractional stochastic differential inclusions in Hilbert spaces is considered.
C. Dineshkumar +3 more
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Weak compactness of weak solutions sets of forward-backward stochastic differential inclusions
Stochastic Analysis and Applications, 2023The main result of the article deals with weak compactness of weak solutions sets of forward-backward stochastic differential inclusions. The main result is preceded by existence theorem for considered forward-backward stochastic differential inclusions.
M. Kisielewicz
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ON OPTIMAL SOLUTIONS OF STOCHASTIC DIFFERENTIAL INCLUSIONS WITH BACKWARD MEAN DERIVATIVES
Global and Stochastic Analysis, 2023. For a stochastic differential inclusion given in terms of backward mean derivatives, we prove the existence of optimal solution minimizing a certain cost criterion.
Yuri Gliklikh, A. Grankina
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Asian journal of control, 2021
In this manuscript, our main focus is about the approximate controllability of fractional stochastic differential inclusions with order 1
C. Dineshkumar +3 more
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In this manuscript, our main focus is about the approximate controllability of fractional stochastic differential inclusions with order 1
C. Dineshkumar +3 more
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Stochastic differential inclusions of Langevin type on Riemannian manifolds
Discussiones Mathematicae. Differential Inclusions, Control and Optimization, 2001A set-valued analogue of the classical Langevin equation on a Riemannian manifold is introduced and several existence theorems of inclusions of Langevin type are proved. Let \(v:I\to T_{m_0}M\) be a continuous curve, \({ \mathcal S}v\) the unique \(C^1\)-curve \(\gamma: I\to M\) such that \(\gamma(0) =m_0\) and \(\dot\gamma (t)\) is parallel to the ...
Gliklikh, Yuri E., Obukhovskij, V.
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