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Numerical solution of dynamic optimization problems with flexible inequality constraints by iterative dynamic programming

机译：具有不等式约束的动态优化问题的迭代动态规划数值解

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摘要

A solution strategy for optimizing the dynamic systems with flexible inequality constraints is propose. To apply fuzzy inference in solution, the flexible portion in the problem is treated as fuzzy constraints. After functional values are bounded in a region, the objective function of this problem can also be fuzzified easily. When the problem is formulated as a fuzzy dynamic optimization problem, the iterative dynamic programming integrated with fuzzy inference is adopted to find the solution. Two examples are employed, demonstrating the facility of the proposed algorithm.
机译：提出了一种求解具有不等式约束的动态系统的优化策略。为了在解决方案中应用模糊推理，将问题中的柔性部分视为模糊约束。在将功能值限制在一个区域中之后，此问题的目标函数也可以轻松地模糊化。当将该问题表述为模糊动态优化问题时，采用与模糊推理相结合的迭代动态规划来寻找解决方案。使用两个例子，证明了所提出算法的便利性。

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