Publications of Ion Victor Gosea

Gosea, I. V. & Antoulas, A. C. (2019)A Two-Sided Iterative Framework for Model Reduction of Linear Systems with Quadratic OutputIn: 2019 IEEE 58th Conference on Decision and Control (CDC), 7812–7817doi: 10.1109/CDC40024.2019.9030025.

Gosea, I. V. & Antoulas, A. C. (2019)A note on modeling some classes of nonlinear systems from dataIn: XVth International Conference on Computational Plasticity. Fundamentals and Applications: COMPLAS 2019; 3-5 September 2019, Barcelona, Spain., 145–156.

Gosea, I. V., Pontes Duff, I., Benner, P., & Antoulas, A. C. (2019)Model Order Reduction of Bilinear Time-Delay SystemsIn: 18th European Control Conference (ECC), 2289–2294doi: 10.23919/ECC.2019.8796085.

Karachalios, D., Gosea, I. V., & Antoulas, A. C. (2019)A Bilinear Identification-Modeling Framework from Time Domain DataIn: Proceedings in Applied Mathematics and Mechanics, e201900246doi: 10.1002/pamm.201900246.

Gosea, I. V. & Antoulas, A. C. (2018)On the H₂ norm and iterative model order reduction of linear switched systemsIn: 2018 European Control Conference (ECC), 2983–2988doi: 10.23919/ECC.2018.8550591.

Karachalios, D., Gosea, I. V., & Antoulas, A. C. (2018)Data‐driven approximation methods applied to non‐rational functionsIn: Proceedings in Applied Mathematics and Mechanics, 1–2doi: 10.1002/pamm.201800368.

Antoulas, A. C., Gosea, I. V., & Heinkenschloss, M. (2020)Reduction of Systems with Polynomial Nonlinearities in the Loewner FrameworkIn: XXI Householder Symposium on Numerical Linear Algebra: Book of Abstracts, 96–98.

Gosea, I. V., Petreczky, M., Fiter, C., & Antoulas, A. C. (2020)Balanced Truncation for Linear Switched SystemsIn: XXI Householder Symposium on Numerical Linear Algebra: Book of Abstracts, 196–198.

Peterson, L., Bremer, J., Goyal, P. K., Gosea, I. V., Benner, P., & Sundmacher, K.Learning reduced-order models for dynamic CO2 methanation using operator inferencePresented at: ESCAPE34 - PSE24Florence, Italy, June 2, 2024.

Gosea, I. V., Zhang, Q., & Antoulas, A. C.Data‐driven modeling from noisy measurementsPresented at: 7th GAMM Juniors' Summer School on Applied Mathematics and Mechanics (SAMM)Magdeburg, Germany, July 27, 2020.

Karachalios, D., Gosea, I. V., & Antoulas, A. C.Data-driven (Bilinear) identification and reductionPresented at: 7th GAMM Juniors' Summer School on Applied Mathematics and Mechanics (SAMM)Magdeburg, Germany, July 27, 2020.

Gosea, I. V. & Antoulas, A. C.Learning block-oriented nonlinear models of dynamical systems from dataPresented at: Workshop on Algorithms for Dimension and Complexity ReductionICERM, Providence, RI, USA, March 23, 2020.

Karachalios, D., Gosea, I. V., & Antoulas, A. C.The Loewner frame-work between compression, iteration and optimal selectionPresented at: Model Order Reduction Summer SchoolHamburg, Germany, September 24, 2018.

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

Karachalios, D., Gosea, I. V., Gkimisis, L., & Antoulas, A. C. (in press)Data-driven quadratic modeling in the Loewner framework from input-output time-domain measurements29 pages, 7 figuresdoi: 10.48550/arXiv.2211.10635.

Peterson, L., Gosea, I. V., Benner, P., & Sundmacher, K. (2024)Digital Twins in Process Engineering: An Overview on Computational and Numerical MethodsSSRNdoi: 10.2139/ssrn.4747265.

Kergus, P., Gosea, I. V., & Petreczky, M. (in press)Loewner Functions for Bilinear Systems.

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

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

Zhang, Q., Gosea, I. V., & Antoulas, A. C. (in press)Factorization of the Loewner matrix pencil and its consequences.