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Time domain model order reduction using general orthogonal polynomials for K-power bilinear systems

机译:K幂双线性系统使用通用正交多项式的时域模型降阶

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摘要

In this paper, we propose a model order reduction (MOR) method based on general orthogonal polynomials for K-power bilinear systems in the time domain. Constructing proper projection matrices by solving a series of linear equations, a reduced K-power bilinear system is produced, which preserves the original coupled structure. It can match several expansion coefficients of the original output. Then the error bound of our algorithm is also investigated. Moreover, the stability of the reduced system is discussed as well. Finally, two numerical examples are provided to illustrate the effectiveness of our algorithm.
机译:本文针对时域中的K幂双线性系统,提出了一种基于一般正交多项式的模型降阶(MOR)方法。通过求解一系列线性方程组来构造合适的投影矩阵,可以生成简化的K幂双线性系统,该系统保留了原始的耦合结构。它可以匹配原始输出的多个扩展系数。然后还研究了我们算法的误差范围。此外,还讨论了简化系统的稳定性。最后,提供了两个数值示例来说明我们算法的有效性。

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