A study on model order reduction of stable discrete-time linear-time-invariant systems using balanced truncation methods

Yunita Indriana Sari, Didik Khusnul Arif, Erna Apriliani, Dieky Adzkiya

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Model order reduction is a method to reduce the order of a model. In this paper, we discuss model order reduction of discrete-time linear-time-invariant systems by using balanced truncation methods. The method is applied on a simple example.

Original languageEnglish
Title of host publicationInternational Conference on Mathematics - Pure, Applied and Computation
Subtitle of host publicationEmpowering Engineering using Mathematics
EditorsDieky Adzkiya
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735415478
DOIs
Publication statusPublished - 1 Aug 2017
Event2nd International Conference on Mathematics - Pure, Applied and Computation: Empowering Engineering using Mathematics, ICoMPAC 2016 - Surabaya, Indonesia
Duration: 23 Nov 2016 → …

Publication series

NameAIP Conference Proceedings
Volume1867
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2nd International Conference on Mathematics - Pure, Applied and Computation: Empowering Engineering using Mathematics, ICoMPAC 2016
Country/TerritoryIndonesia
CitySurabaya
Period23/11/16 → …

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