Take the (z)-transform of (6.2.6) and show that (mathbf{X}(z)=mathbf{G}(z) mathbf{Y}(z)), where (mathbf{G}(z)=(z mathbf{U}-mathbf{M})^{-1} mathbf{D}^{-1}) and (mathbf{U}) is
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Take the \(z\)-transform of (6.2.6) and show that \(\mathbf{X}(z)=\mathbf{G}(z) \mathbf{Y}(z)\), where \(\mathbf{G}(z)=(z \mathbf{U}-\mathbf{M})^{-1} \mathbf{D}^{-1}\) and \(\mathbf{U}\) is the unit matrix. \(\mathbf{G}(z)\) is the matrix transfer function of a digital filter that represents the Jacobi or Gauss-Seidel methods. The filter poles are obtained by solving \(\operatorname{det}(z \mathbf{U}-\mathbf{M})=0\). The filter is stable if and only if all the poles have magnitudes less than 1.
\[
\begin{equation*}
\mathbf{x}(i+1)=\mathbf{M x}(i)+\mathbf{D}^{-1} \mathbf{y} \tag{6.2.6}
\end{equation*}
\]
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Related Book For
Power System Analysis And Design
ISBN: 9781305632134
6th Edition
Authors: J. Duncan Glover, Thomas Overbye, Mulukutla S. Sarma
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