基于Cauchy积分的边界元法求解圆上线性二次型边界控制问题

IF 2 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Optimal Control Applications & Methods Pub Date : 2007-10-29 DOI:10.1002/OCA.4660090109
Goong Chen, Chiang-Pu Chen, I. Aronov
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引用次数: 0

摘要

对于某些类型的椭圆型边界控制问题,边界元法由于在计算上降低了维数而比传统的有限元或有限差分法具有相当大的优势。本文研究了基于柯西积分的边界积分方法的一种变体。这里的代价函数只包含有限个与这些有限内部点上的感官数据相关的二次项。我们看到,这种方法的数值效率在很大程度上取决于某个边界积分算子逆的复杂度。在圆的情况下,这样的逆很容易得到,整个计算只需要很小的努力就能得到关于最优控制的有用的数值信息。还讨论了其他一般情况。
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A boundary element method based on Cauchy integrals for some linear quadratic boundary control problems on a circle
For certain types of elliptic boundary control problems, the boundary element method has considerable advantage over the traditional finite element or finite difference methods because of the reduction of dimensionality in computations. In this paper we examine a variant of such boundary integral methods based on Cauchy integrals. The cost functional here contains only finitely many quadratic terms related to sensory data at those finite interior points. We see that the numerical efficiency of this approach hinges largely on the complexity of the inverse of a certain boundary integral operator. In the case of a circle, such an inverse is readily obtainable and entire computations require only a small effort to yield useful numerical information about the optimal control. Other general situations are also discussed.
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来源期刊
Optimal Control Applications & Methods
Optimal Control Applications & Methods 工程技术-应用数学
CiteScore
3.90
自引率
11.10%
发文量
108
审稿时长
3 months
期刊介绍: Optimal Control Applications & Methods provides a forum for papers on the full range of optimal and optimization based control theory and related control design methods. The aim is to encourage new developments in control theory and design methodologies that will lead to real advances in control applications. Papers are also encouraged on the development, comparison and testing of computational algorithms for solving optimal control and optimization problems. The scope also includes papers on optimal estimation and filtering methods which have control related applications. Finally, it will provide a focus for interesting optimal control design studies and report real applications experience covering problems in implementation and robustness.
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