A Dynamic Programming Formulation for the Nonlinear Filter

Jin W. Kim, P. Mehta
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Abstract

This paper build on our recent work where we presented a dual stochastic optimal control formulation of the nonlinear filtering problem [1]. The constraint for the dual problem is a backward stochastic differential equations (BSDE). The solution is obtained via an application of the maximum principle (MP). In the present paper, a dynamic programming (DP) principle is presented for a special class of BSDE-constrained stochastic optimal control problems. The principle is applied to derive the solution of the nonlinear filtering problem.
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非线性滤波器的动态规划公式
本文建立在我们最近的工作基础上,我们提出了非线性滤波问题的对偶随机最优控制公式[1]。对偶问题的约束是一个倒向随机微分方程。通过应用极大值原理(MP)得到了解。本文给出了一类特殊的bsde约束随机最优控制问题的动态规划原理。应用该原理推导了非线性滤波问题的解。
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