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Optimal control for a mixed flow of hamiltonian and gradient type in space of probability measures

机译:概率测度空间内哈密顿梯度梯度混合流的最优控制

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In this paper we investigate an optimal control problem in the space of measures on ?~2. The problem is motivated by a stochastic interacting particle model which gives the 2-D Navier-Stokes equations in their vorticity formulation as a mean-field equation. We prove that the associated Hamilton- Jacobi-Bellman equation, in the space of probability measures, is well posed in an appropriately defined viscosity solution sense.
机译:在本文中,我们研究了在?〜2的度量空间内的最优控制问题。该问题是由随机相互作用的粒子模型引起的,该模型在其涡度公式中将二维Navier-Stokes方程作为平均场方程。我们证明,在概率测度的空间中,相关的Hamilton-Jacobi-Bellman方程在适当定义的粘度解意义上是正确的。

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