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.
Last update:
Last update: 2024-12-26 06:29:23