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首页> 外文期刊>Journal of industrial and management optimization >A Nonsmooth Newton's Method For Discretizedoptimal Control Problems With State Andrncontrol Constraints
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A Nonsmooth Newton's Method For Discretizedoptimal Control Problems With State Andrncontrol Constraints

机译:具有状态Andrn控制约束的离散最优控制问题的非光滑牛顿法

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摘要

We investigate a nonsmooth Newton's method for the numerical solution of discretized optimal control problems subject to pure state constraints and mixed control-state constraints. The infinite dimensional problem is discretized by application of a general one-step method to the differential equation. By use of the Fischer-Burmeister function the first order necessary conditions for the discretized problem are transformed into an equivalent nonlinear and nonsmooth equation. This nonlinear and nonsmooth equation is solved by a globally convergent nonsmooth Newton's method. Numerical examples for the minimum energy problem and the optimal control of a robot conclude the article.
机译:我们研究离散纯控制问题在纯状态约束和混合控制状态约束下的数值解的非光滑牛顿法。通过将一般的一步法应用于微分方程来离散无穷维问题。通过使用Fischer-Burmeister函数,将离散问题的一阶必要条件转化为等效的非线性和非光滑方程。通过全局收敛的非光滑牛顿法求解该非线性且非光滑的方程。文章总结了最小能量问题和机器人最佳控制的数值示例。

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