Based on the multi constraints fuzzy optimal control model the optimal solution is sought under satisfying constraints.
根据多约束模糊最优控制模型，寻求满足约束前提下的最优解。
Fuzzy optimal control arithmetic was designed for each module, and an improved BP neural network was introduced to implement the fuzzy relation.
对每个控制模块设计了相应的模糊优化控制算法，并用改进的BP神经网络实现算法的模糊关系。
In this article, we will study the multi-dimensional multistage fuzzy optimal control question, which mainly draw support from the Bellman optimality principle.
本文主要将借助贝尔曼最优性原理，来研究一下多维多阶段的模糊最优控制问题。
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