From Data to Reduced-Order Models via Generalized Balanced Truncation-Reference-Cited by-同舟云学术

From Data to Reduced-Order Models via Generalized Balanced Truncation

Published:2023-10 Issue:10 Volume:68 Page:6160-6175
ISSN:0018-9286
Container-title:IEEE Transactions on Automatic Control
language:
Short-container-title:IEEE Trans. Automat. Contr.

Author:

Burohman Azka Muji¹^ORCID,Besselink Bart¹^ORCID,Scherpen Jacquelien M. A.²^ORCID,Camlibel M. Kanat¹^ORCID

Affiliation:

1. Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, Nijenborgh 9 9747 AG, Groningen, The Netherlands

2. Engineering and Technology Institute Groningen (ENTEG), University of Groningen, Nijenborgh 4 9747 AG, Groningen, The Netherlands

Funder

DSSC Doctoral Training Programme

Marie Sklodowska-Curie COFUND

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9/10264185/10024367.pdf?arnumber=10024367

Reference41 articles.

1. Approximation of Large-Scale Dynamical Systems

2. Two-Sided Time-Domain Moment Matching for Linear Systems

3. Nonlinear Moment Matching-Based Model Order Reduction

4. Interior-Point Polynomial Algorithms in Convex Programming

5. A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved model order reduction techniques with error bounds;International Journal of Systems Science;2023-12-22

2. Frequency-Limited Model Reduction for Linear Positive Systems: A Successive Optimization Method;Applied Sciences;2023-03-22

3. Data Informativity for Lyapunov Equations;IEEE Control Systems Letters;2023

4. Data-driven analysis and design beyond common Lyapunov functions;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06