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Order reduction of bilinear MIMO dynamical systems using new block Krylov subspaces

机译:使用新块Krylov子空间的双线性MIMO动力学系统的降阶

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In this paper we study numerical methods for the model-order reduction of large-scale bilinear multi-input multi-output systems. A new projection method is proposed. The projection subspace is the union of some new block Krylov subspaces. We show that the reduced-order bilinear system constructed by the new method can match a desired number of moments of multivariable transfer functions corresponding to the kernels of Volterra series representation of the original system. Some numerical examples are presented to illustrate the effectiveness of the proposed method.
机译:在本文中,我们研究了用于大型双线性多输入多输出系统模型阶降阶的数值方法。提出了一种新的投影方法。投影子空间是某些新块Krylov子空间的并集。我们表明,通过新方法构造的降阶双线性系统可以匹配与原始系统的Volterra级数表示形式的核相对应的多变量传递函数的期望矩数。数值例子表明了该方法的有效性。

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