Interpolatory model reduction of quadratic-bilinear dynamical systems with quadratic-bilinear outputs
Author:
Funder
National Science Foundation
National Defense Science and Engineering Graduate
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s10444-023-10096-2.pdf
Reference24 articles.
1. Asif, M.M.A., Ahmad, M.I., Benner, P., Feng, L., Stykel, T.: Implicit higher-order moment matching technique for model reduction of quadratic-bilinear systems. J. Franklin Inst. 358(3), 2015–2038 (2021). https://doi.org/10.1016/j.jfranklin.2020.11.012
2. Benner, P., Breiten, T.: Two-sided projection methods for nonlinear model order reduction. SIAM J. Sci. Comput. 37(2), 239–260 (2015). https://doi.org/10.1137/14097255X
3. Gosea, I.V., Antoulas, A.C.: Data-driven model order reduction of quadratic-bilinear systems. Numer. Linear Algebra Appl. 25(6), 2200 (2018). https://doi.org/10.1002/nla.2200
4. Antoulas, A.C., Beattie, C.A., Gugercin, S.: Interpolatory model reduction. Comput. Sci. Eng., vol. 21. Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA (2020). https://doi.org/10.1137/1.9781611976083
5. Ahmad, M.I., Benner, P., Goyal, P., Heiland, J.: Moment-matching based model reduction for Navier-Stokes type quadratic-bilinear descriptor systems. ZAMM Z. Angew. Math. Mech. 97(10), 1252–1267 (2017). https://doi.org/10.1002/zamm.201500262
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