Open AccessModel reduction of unstable systems based on balanced truncation algorithm
Author(s) -
Ngoc Kien Vu,
Nguyen Hong Quang
Publication year - 2021
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v11i3.pp2045-2053
Subject(s) - reduction (mathematics) , correctness , truncation (statistics) , computer science , algorithm , order (exchange) , truncation error , mathematical optimization , mathematics , machine learning , geometry , finance , economics
Model reduction of a system is an approximation of a higher-order system to a lower-order system while the dynamic behavior of the system is almost unchanged. In this paper, we will discuss model order reduction (MOR) strategies for unstable systems, in which the method based on the balanced truncation algorithm will be focused on. Since each MOR algorithm has its strengths and weakness, practical applications should be suitable for each specific requirement. Simulation results will demonstrate the correctness of the algorithms.