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Frequency-Limited Reduced Models for Linear and Bilinear Systems on the Riemannian Manifold

机译:riemannian歧管上的线性和双线性系统的频率有限减少模型

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摘要

In this article, we propose two new iterative algorithms to solve the frequency-limited Riemannian optimization model order reduction problems of linear and bilinear systems. Different from the existing Riemannian optimization methods, we design a new Riemannian conjugate gradient scheme based on the Riemannian geometry notions on a product manifold, and then generate a new search direction. Theoretical analysis shows that the resulting search direction is always descent with depending neither on the line search used, nor on the convexity of the cost function. The proposed algorithms are also suitable for generating reduced systems over a frequency interval in bandpass form. Finally, two numerical examples are simulated to demonstrate the efficiency of our algorithms.
机译:在本文中,我们提出了两个新的迭代算法来解决线性和双线性系统的频率限制的Riemannian优化模型顺序减少问题。 与现有的riemannian优化方法不同,我们设计了一种基于产品歧管上的riemannian几何概念的新的riemannian共轭梯度方案,然后生成新的搜索方向。 理论分析表明,由此产生的搜索方向始终是下降,根据所使用的线路搜索,也不是成本函数的凸起。 所提出的算法也适用于在带通形式中通过频率间隔产生减少的系统。 最后,模拟了两个数值例子以展示我们算法的效率。

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