BibTex Citation Data :
@article{JM3870, author = {Farikhin Farikhin}, title = {MODEL REDUKSI PADA PARAMETER MARKOV}, journal = {MATEMATIKA}, volume = {14}, number = {3}, year = {2012}, keywords = {}, abstract = { As well known that the model reduction for large-scale linear dynamical systems based on Krylov subspace is called moments matching. In this method, one or more interpolation points is needed to construct a certain Krylov subspace. In this paper, we propose the proof of theorem for moment matching at Markov parameter using the theorem which is obtained from standard block Arnoldi algorithm. }, url = {https://ejournal.undip.ac.id/index.php/matematika/article/view/3870} }
Refworks Citation Data :
As well known that the model reduction for large-scale linear dynamical systems based on Krylov subspace is called moments matching. In this method, one or more interpolation points is needed to construct a certain Krylov subspace. In this paper, we propose the proof of theorem for moment matching at Markov parameter using the theorem which is obtained from standard block Arnoldi algorithm.
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