An Extension Research of Hamilton-Jacobi-Bellman Equation

Bo Liu, Bowen Xu, Lingling Qin
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Abstract

Hamilton-Jacobi-Bellman equation is one of the most important equations in stochastic control theory. It is widely used in science and engineering disciplines with interference. This article uses Hamilton-Jacobi-Bellman equation and other dynamic programming theories to extend the optimal strategy problem to other fields, get the optimal selection strategy with guiding significance
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Hamilton-Jacobi-Bellman方程的推广研究
Hamilton-Jacobi-Bellman方程是随机控制理论中重要的方程之一。它广泛应用于有干扰的科学和工程学科。本文利用Hamilton-Jacobi-Bellman方程等动态规划理论,将最优策略问题推广到其他领域,得到具有指导意义的最优选择策略
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