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Continuous-Discrete Path Integral Filtering

机译:连续离散路径积分滤波

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A summary of the relationship between the Langevin equation, Fokker-Planck-Kolmogorov forward equation (FPKfe) and the Feynman path integral descriptions of stochastic processes relevant for the solution of the continuous-discrete filtering problem is provided in this paper. The practical utility of the path integral formula is demonstrated via some nontrivial examples. Specifically, it is shown that the simplest approximation of the path integral formula for the fundamental solution of the FPKfe can be applied to solve nonlinear continuous-discrete filtering problems quite accurately. The Dirac-Feynman path integral filtering algorithm is quite simple, and is suitable for real-time implementation.
机译:本文总结了Langevin方程,Fokker-Planck-Kolmogorov前向方程(FPKfe)与随机过程的Feynman路径积分描述之间的关系,该随机过程与求解连续离散滤波问题有关。通过一些非平凡的例子证明了路径积分公式的实用性。具体而言,表明对于FPKfe的基本解的路径积分公式的最简单近似可用于相当精确地解决非线性连续离散滤波问题。 Dirac-Feynman路径积分滤波算法非常简单,适合实时实现。

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