scholarly journals Interpolatory Projection Techniques for H2 Optimal Structure-Preserving Model Order Reduction of Second-Order Systems

2020 ◽  
Vol 5 (4) ◽  
pp. 715-723 ◽  
Author(s):  
Md. Motlubar Rahman ◽  
Mohammad Monir Uddin ◽  
Laek Sazzad Andallah ◽  
Mahtab Uddin
2017 ◽  
Vol 20 (2) ◽  
pp. 790-801 ◽  
Author(s):  
Shafiq Haider ◽  
Abdul Ghafoor ◽  
Muhammad Imran ◽  
Fahad Mumtaz Malik

2018 ◽  
Vol 41 (8) ◽  
pp. 2310-2318 ◽  
Author(s):  
Shafiq Haider ◽  
Abdul Ghafoor ◽  
Muhammad Imran ◽  
Fahad Mumtaz Malik

A new scheme for model order reduction of large-scale second-order systems in time-limited intervals is presented. Time-limited Gramians that are solutions of continuous-time algebraic Lyapunov equations for second-order form systems are introduced. Time-limited second-order balanced truncation procedures with provision of balancing position and velocity Gramians are formulated. Stability conditions for reduced-order models are stated and algorithms that preserve stability in reduced-order models are discussed. Numerical examples are presented to validate the superiority of the proposed scheme compared with the infinite-time Gramians technique for time-limited applications.


2012 ◽  
Vol 436 (8) ◽  
pp. 2780-2794 ◽  
Author(s):  
Yung-Ta Li ◽  
Zhaojun Bai ◽  
Wen-Wei Lin ◽  
Yangfeng Su

2018 ◽  
Vol 10 (2) ◽  
pp. 94
Author(s):  
Shazzad Hasan ◽  
M. Monir Uddin

This paper studies the structure preserving (second-order to second-order) model order reduction of second-order systems applying the projection onto the dominant eigenspace of the Gramians of the systems. The projectors which create the reduced order model are generated cheaply from the low-rank Gramian factors. The low-rank Gramian factors are computed efficiently by solving the corresponding Lyapunov equations of the system using the rational Krylov subspace method. The efficiency of the theoretical results are then illustrated by numerical experiments.


Sign in / Sign up

Export Citation Format

Share Document