LTV Model Reduction With Upper Error Bounds

Autor:	Anders Helmersson
Rok vydání:	2009
Předmět:	Reduction (complexity) Singular value Transformation (function) Control and Systems Engineering Mathematical analysis Linear system Observability Electrical and Electronic Engineering Constant (mathematics) Upper and lower bounds Time complexity Computer Science Applications Mathematics
Zdroj:	IEEE Transactions on Automatic Control. 54:1450-1462
ISSN:	1558-2523 0018-9286
Popis:	A new approach for computing upper error bounds for reduced-order models of linear time-varying systems is presented. It is based on a transformation technique of the Hankel singular values using positive-real, odd incremented functions. By applying such time-varying functions, the singular values to be removed can be forced to become equal and constant, so that they can be reduced. Two variations of this method are proposed: one for finite-time horizons and the other for infinite-time problems including periodic systems.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6c56a77cc68140f815db8decbc21e40b https://doi.org/10.1109/tac.2009.2022091 Zobrazit plný text záznamu