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Numerical algorithms for solving optimal control problems with integro-differential equations of the second kind as constraints

机译:求解以第二类积分微分方程为约束的最优控制问题的数值算法

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This study presents numerical algorithms for solving optimal control problems with a class of integro-differential equations of the second kind as costraints. This class of equations consists of an integro-differential term containing an Abeltype kernel. The first kind equations, with a weakly singular kernel, investigated here appear in the mathematical model of an aeroelasticity problem [1]. Two controls are considered in this study: delay and stochastic. The feasibility of the proposed numerical algorithm is demonstrated with examples in which the costs are compared with deterministic optimal controls without time lag.
机译:这项研究提出了一种求解最优控制问题的数值算法,其中第二类积分微分方程作为costrains。这类方程式由一个包含Abeltype核的整数微分项组成。这里研究的具有弱奇异核的第一类方程式出现在空气弹性问题的数学模型中[1]。在这项研究中考虑了两个控制:延迟和随机。通过实例证明了所提出的数值算法的可行性,在实例中将成本与确定性最优控制进行了比较,而没有时间滞后。

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