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Investigation of second-order optimality conditions for impulsive control problems under the Frobenius condition

机译:Frobenius条件下脉冲控制问题的二阶最优条件研究

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In this work impulsive control problems are investigated in that case in which matrix G that appears in the dynamics multiplying vector-valued control measure μ depends on the state variable, that is, G = G(x, t). The solution concept and the extension procedure in this non-linear case are not as trivial as in the case G = G (t). The key-point is to ensure robustness of the impulsive control system w.r.t. the control measure and regarding the approximations in the weak-* topology (“w.r.t.” stands for “with respect to” here and further). Note that such approximations are required by applications. But this type of robustness is generally lost unless some extra assumptions on the matrix G w.r.t. the x-variable are imposed. It turns out that the weakest possible assumption, that still meets the robustness property, is the so-called Frobenius condition presented and discussed below. Under the Frobenius condition and without a priori regularity assumptions, we derive second-order necessary optimality conditions in a new form. This form and relations with previous results are discussed.
机译:在这项工作中,在这种情况下研究了脉冲控制问题,其中出现在动态乘矢量值控制度量μ中的矩阵G取决于状态变量,即G = G(x,t)。在这种非线性情况下,求解概念和扩展过程不像在G = G(t)情况下那样琐碎。关键是要确保脉冲控制系统的坚固性。控制措施以及弱*拓扑中的近似值(“ w.r.t.”在这里及以后代表“相对于”)。请注意,应用程序需要此类近似值。但是除非在矩阵G w.r.t上有一些额外的假设,否则通常会丢失这种类型的鲁棒性。 x变量被强加。事实证明,仍然满足鲁棒性的最弱假设是下面介绍和讨论的所谓Frobenius条件。在Frobenius条件下并且没有先验规律性假设,我们以新形式导出了二阶必要最优性条件。讨论了这种形式以及与先前结果的关系。

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