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Model Reduction Method based on Rational Canonical form of System Matrix and Krylov Subspace

机译:基于系统矩阵和Krylov子空间合理规范形式的模型还原方法

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For single input and single output time-invariant linear system,a new projection method to obtain reduced models is presented by making use of the rational canonical form of system matrix and the Krylov subspace.At first,the system matrix is transformed to its rational canonical form by use of linear transformation.And then both projection method and Krylov subspace method are used to reduce model.The advantage of this method is the poles of the reduced system are same as those of the original.Thus the reduced system remains the stability when the original system is.This method is more effective than simple Krylov subspace method.Numerical examples demonstrate the effectiveness of the method.
机译:对于单个输入和单个输出时间不变线性系统,通过利用系统矩阵和Krylov子空间的合理规范形式来提出一种获得减少模型的新投影方法。首先,将系统矩阵转换为其合理的规范通过使用线性变换的形式。然后使用投影方法和Krylov子空间方法来减少模型。该方法的优点是减少系统的极点与原始系统相同。该减少系统仍然存在稳定性原始系统是。该方法比简单的Krylov子空间方法更有效。数字示例证明了该方法的有效性。

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