Publikationen von Ion Victor Gosea

Patel, B.; Sorrentino, A.; Gosea, I. V.; Vidaković-Koch, T.; Antoulas, A. C.: Distribution of Relaxation Times Analysis of PEMFC through Loewner Framework: A Direct and Regularization Free Approach. 245th ECS Meeting, San Francisco, USA (2024)

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. ESCAPE-34, Florence, Italy (2024)

Peterson, L.; Goyal, P. K.; Pontes Duff, I.; Gosea, I. V.; Bremer, J.; Benner, P.; Sundmacher, K.: Stability-Guaranteed Inference of Reduced-Order Models with Control of Power-to-X Processes. 2024 AIChE Annual Meeting, San Diego, USA (eingereicht)

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)

Pradovera, D.; Gosea, I. V.; Heiland, J.: Barycentric Rational Approximation for Learning the Index of a Dynamical System from Limited Data. (2024)

Pelling, A. J. R.; Cherifi, K.; Gosea, I. V.; Sarradj, E.: Snapshot-driven Rational Interpolation of Parametric Systems. (2024)

Reiter, S.; Pontes Duff, I.; Gosea, I. V.; Gugercin, S.: H₂ Optimal Model Reduction of Linear Systems with Multiple Quadratic Outputs. (2024)

Peterson, L.; Forootani, A.; Sanchez Medina, E. I.; Gosea, I. V.; Sundmacher, K.; Benner, P.: Towards Digital Twins for Power-to-X: Comparing Surrogate Models for a Catalytic CO2 Methanation Reactor. TechRxiv (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.: 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)

Gosea, I. V.; Antoulas, A. C.: Rational approximation of the absolute value function from measurements: a numerical study of recent methods. (2020)

Karachalios, D.; Gosea, I. V.; Zhang, Q.; Antoulas, A. C.: Case study: Approximations of the Bessel Function. (2017)

Gosea, I. V.; Antoulas, A. C.: Approximation of a damped Euler-Bernoulli beam model in the Loewner framework. (2017)