用最优代价泛函逼近非线性随机系统的最优控制

G. Campion
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引用次数: 0

摘要

在随机系统最优控制的确定性策略中,最优策略是闭环型策略,因为它具有控制的“双重效应”。理论上的闭环解结构是由Bellman原理推导出来的,但在非线性情况下很难实现。本文通过引入高斯和方法,提出了一种近似最小代价函数的闭环解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal control of non-linear stochastic systems by approximation of the optimal cost functional
Among the deterministic policies for the optimal control of stochastic systems the best one is of closed-loop type, because it presents the "dual effect" of control. The theoretical closed-loop solution structure is deduced from Bellman's principle but is very difficult to implement in the non-linear case. This communication presents a closed-loop solution by approximation of the minimum cost function by introduction of the gaussian sum method.
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