Publikationen von Ion Victor Gosea

Gosea, I. V.; Antoulas, A. C.: A Two-Sided Iterative Framework for Model Reduction of Linear Systems with Quadratic Output. In: 2019 IEEE 58th Conference on Decision and Control (CDC), 9030025, S. 7812 - 7817. IEEE 58th Conference on Decision and Control (CDC), Nice, France, 11. Dezember 2019 - 13. Dezember 2019. IEEE (2019)

Gosea, I. V.; Antoulas, A. C.: A note on modeling some classes of nonlinear systems from data. In: XVth International Conference on Computational Plasticity. Fundamentals and Applications: COMPLAS 2019; 3-5 September 2019, Barcelona, Spain., S. 145 - 156 (Hg. Oñate, E.; Owen, D. R. J.; Peric, D.; Chiumen, M.; de Souza Neto, E.). 15th International Conference on Computational Plasticity. Fundamentals and Applications, Barcelona, Spain, 03. September 2019 - 05. September 2019. (2019)

Gosea, I. V.; Pontes Duff, I.; Benner, P.; Antoulas, A. C.: Model Order Reduction of Bilinear Time-Delay Systems. In: 18th European Control Conference (ECC), S. 2289 - 2294. 18th European Control Conference (ECC), Naples, Italy, 25. Juni 2019 - 28. Juni 2019. IEEE (2019)

Karachalios, D.; Gosea, I. V.; Antoulas, A. C.: A Bilinear Identification-Modeling Framework from Time Domain Data. 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Vienna, Austria, 18. Februar 2019 - 22. Februar 2019. Proceedings in Applied Mathematics and Mechanics 19 (1), e201900246, (2019)

Gosea, I. V.; Antoulas, A. C.: On the H₂ norm and iterative model order reduction of linear switched systems. In: 2018 European Control Conference (ECC), S. 2983 - 2988. 18th European Control Conference, ECC 2018, Limassol, Cyprus, 12. Juni 2018 - 15. Juni 2018. IEEE, Piscataway, NJ, USA (2018)

Karachalios, D.; Gosea, I. V.; Antoulas, A. C.: Data‐driven approximation methods applied to non‐rational functions. 89th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Munich, Germany, 19. März 2018 - 23. März 2018. Proceedings in Applied Mathematics and Mechanics 18 (1), S. 1 - 2 (2018)

Antoulas, A. C.; Gosea, I. V.; Heinkenschloss, M.: Reduction of Systems with Polynomial Nonlinearities in the Loewner Framework. In XXI Householder Symposium on Numerical Linear Algebra: Book of Abstracts, S. 96 - 98. XXI Householder Symposium on Numerical Linear Algebra, Selva di Fasano, Italy, 14. Juni 2020 - 19. Juni 2020. (2020)

Gosea, I. V.; Petreczky, M.; Fiter, C.; Antoulas, A. C.: Balanced Truncation for Linear Switched Systems. In XXI Householder Symposium on Numerical Linear Algebra: Book of Abstracts, S. 196 - 198. XXI Householder Symposium on Numerical Linear Algebra, Selva di Fasano, Italy, 14. Juni 2020 - 19. Juni 2020. (2020)

Peterson, L.; Bremer, J.; Goyal, P. K.; Gosea, I. V.; Benner, P.; Sundmacher, K.: Learning reduced-order models for dynamic CO2 methanation using operator inference. ESCAPE34 - PSE24, Florence, Italy (angenommen)

Gosea, I. V.; Zhang, Q.; Antoulas, A. C.: Data‐driven modeling from noisy measurements. 7th GAMM Juniors' Summer School on Applied Mathematics and Mechanics (SAMM), Magdeburg, Germany (2021)

Karachalios, D.; Gosea, I. V.; Antoulas, A. C.: Data-driven (Bilinear) identification and reduction. 7th GAMM Juniors' Summer School on Applied Mathematics and Mechanics (SAMM), Magdeburg, Germany (2021)

Gosea, I. V.; Antoulas, A. C.: Learning block-oriented nonlinear models of dynamical systems from data. Workshop on Algorithms for Dimension and Complexity Reduction, ICERM, Providence, RI, USA (2020)

Karachalios, D.; Gosea, I. V.; Antoulas, A. C.: The Loewner frame-work between compression, iteration and optimal selection. Model Order Reduction Summer School, Hamburg, Germany (2018)

Karachalios, D.; Gosea, I. V.; Gkimisis, L.; Antoulas, A. C.: Data-driven quadratic modeling in the Loewner framework from input-output time-domain measurements. (2024)

Gosea, I. V.; Peterson, L.; Goyal, P. K.; Bremer, J.; Sundmacher, K.; Benner, P.: Learning Reduced-Order Quadratic-Linear Models in Process Engineering using Operator Inference. (2024)

Peterson, L.; Gosea, I. V.; Benner, P.; Sundmacher, K.: Digital Twins in Process Engineering: An Overview on Computational and Numerical Methods. (2024)

Reiter, S.; Gosea, I. V.; Gugercin, S.: Generalizations of Data-Driven Balancing: What to Sample for Different Balancing-Based Reduced Models. (2023)

Kergus, P.; Gosea, I. V.; Petreczky, M.: Loewner Functions for Bilinear Systems. (2023)

Kergus, P.; Gosea, I. V.: Data-driven approximation and reduction from noisy data in matrix pencil frameworks. (2022)

Zhang, Q.; Gosea, I. V.; Antoulas, A. C.: Factorization of the Loewner matrix pencil and its consequences. (2021)