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An exact l1 penalty function method for a multitime control optimization problem with data uncertainty
Optimal Control Applications and Methods ( IF 2.0 ) Pub Date : 2020-07-21 , DOI: 10.1002/oca.2634
Anurag Jayswal 1 , Preeti 1 , Manuel Arana‐Jiménez 2
Affiliation  

In this article, we study the robust solution set of a multitime first‐order PDE constrained control optimization problem with data uncertainty (MCOPU) and an unconstrained multitime control optimization problem (MCOPU)ρ. We establish the equivalence between a robust optimal solution of (MCOPU) and a robust minimizer of (MCOPU)ρ under the appropriate assumptions. Furthermore, we define the uncertain Lagrange functional for (MCOPU) and show the relationship between the robust solution set of (MCOPU) and (MCOPU)ρ under the convexity hypothesis of uncertain Lagrange functional. Moreover, we present some nontrivial examples to illustrate the established results.

中文翻译:

具有数据不确定性的多时间控制优化问题的精确l1罚函数方法

在本文中,我们研究具有数据不确定性(MCOPU)和无约束的多时间控制优化问题(MCOPU)ρ的多时间一阶PDE约束控制优化问题的鲁棒解决方案集。在适当的假设下,我们建立了(MCOPU)的鲁棒最优解和(MCOPU)ρ的鲁棒最小化器之间的等价关系。此外,我们定义了(MCOPU)的不确定Lagrange泛函,并在不确定Lagrange泛函的凸性假设下,展示了(MCOPU)和(MCOPU)ρ的鲁棒解集之间的关系。此外,我们提出了一些重要的例子来说明已建立的结果。
更新日期:2020-07-21
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