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OPTIMALITY CONDITIONS FOR A CONTROLLED SWEEPING PROCESS WITH APPLICATIONS TO THE CROWD MOTION MODEL

机译:扫频过程的最优条件及其在人群运动模型中的应用

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The paper concerns the study and applications of a new class of optimal control problems governed by a perturbed sweeping process of the hysteresis type with control functions acting in both play-and-stop operator and additive perturbations. Such control problems can be reduced to optimization of discontinuous and unbounded differential inclusions with point-wise state constraints, which are immensely challenging in control theory and prevent employing conventional variation techniques to derive necessary opti-mality conditions. We develop the method of discrete approximations married with appropriate generalized differential tools of modern variational analysis to overcome principal difficulties in passing to the limit from optimality conditions for finite-difference systems. This approach leads us to nondegenerate necessary conditions for local minimizers of the controlled sweeping process expressed entirely via the problem data. Besides illustrative examples, we apply the obtained results to an optimal control problem associated with of the crowd motion model of traffic flow in a corridor, which is formulated in this paper. The derived optimality conditions allow us to develop an effective procedure to solve this problem in a general setting and completely calculate optimal solutions in particular situations.
机译:本文涉及一类新的最优控制问题的研究和应用,该问题由磁滞类型的扰动扫掠过程控制,该函数具有起停操作算子和附加扰动。可以将此类控制问题简化为具有逐点状态约束的不连续和无界微分包含物的优化,这在控制理论中极具挑战性,并且阻止了采用传统的变化技术来得出必要的最优性条件。我们开发了离散近似方法,并结合了现代变分分析的适当广义差分工具,以克服从有限差分系统的最优性条件达到极限的主要困难。这种方法使我们无法完全通过问题数据表示的受控清扫过程的局部最小化器的退化条件。除了说明性的例子,我们将获得的结果应用于与走廊中交通流的人群运动模型相关的最优控制问题,该问题在本文中得到阐述。导出的最优性条件使我们能够开发一种有效的程序来解决一般情况下的这一问题,并在特定情况下完全计算出最优解。

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