Study of Inverse Systems Using Matrix Methods
Efficient computation of generalized inverses of rational matrices using orthogonal reduction
Keywords:
inverse systems, matrix methods, numercially reliable computation, generalized inverses, rational matrices, descriptor state-space representation, weak generalized inverse, Moore-Penrose pseudoinverse, orthogonal reduction, system matrix pencilAbstract
We address the numerically reliablecomputation of generalized inverses of rational matrices in descriptorstate-space representation. We put particular emphasis on two classes ofinverses: the weak generalized inverse and the Moore- Penrose pseudoinverse. Bycombining the underlying computational techniques, other types of inverses ofrational matrices can be computed as well. The main computational ingredient todetermine generalized inverses is the orthogonal reduction of the system matrixpencil to appropriate Kronecker-like forms.Published
2011-10-01
How to Cite
[1]
“Study of Inverse Systems Using Matrix Methods: Efficient computation of generalized inverses of rational matrices using orthogonal reduction”, JASRAE, vol. 2, no. 2, pp. 0–0, Oct. 2011, Accessed: Aug. 18, 2025. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/3992
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Section
Articles
How to Cite
[1]
“Study of Inverse Systems Using Matrix Methods: Efficient computation of generalized inverses of rational matrices using orthogonal reduction”, JASRAE, vol. 2, no. 2, pp. 0–0, Oct. 2011, Accessed: Aug. 18, 2025. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/3992