Publikationen von Ion Victor Gosea

Bradde, T.; Grivet-Talocia, S.; Aumann, Q.; Gosea, I. V.: A Modified AAA Algorithm for Learning Stable Reduced-Order Models from Data. Journal of Scientific Computing 103 (1), 14 (2025)

Carlucci, A.; Gosea, I. V.; Grivet-Talocia, S.: Data-Driven Modeling of Weakly Nonlinear Circuits via Generalized Transfer Function Approximation. IEEE Access 13, S. 2746 - 2762 (2025)

Karachalios, D.; Gosea, I. V.; Gkimisis, L.; Antoulas, A. C.: Data-Driven Quadratic Modeling in the Loewner Framework from Input-Output Time-Domain Measurements. SIAM Journal on Applied Dynamical Systems 24 (1), S. 457 - 500 (2025)

Peterson, L.; Forootani, A.; Sanchez Medina, E. I.; Gosea, I. V.; Sundmacher, K.; Benner, P.: Towards Digital Twins for Power-to-X Processes: Comparing Surrogate Models for a Catalytic CO2 Methanation Reactor. IEEE Transactions on Automation Science and Engineering (2025)

Peterson, L.; Gosea, I. V.; Benner, P.; Sundmacher, K.: Digital Twins in Process Engineering: An Overview on Computational and Numerical Methods. Computers and Chemical Engineering 193, 108917 (2025)

Gosea, I. V.; Gugercin, S.; Werner, S. W. R.: Structured Barycentric Forms for Interpolation-Based Data-Driven Reduced Modeling of Second-Order Systems. Advances in Computational Mathematics 50, 26 (2024)

Liljegren-Sailer, B.; Gosea, I. V.: Data-Driven and Low-Rank Implementations of Balanced Singular Perturbation Approximation. SIAM Journal on Scientific Computing 46 (1), S. A483 - A507 (2024)

Aumann, Q.; Gosea, I. V.: Practical Challenges in Data-Driven Interpolation: Dealing with Noise, enforcing Stability, and Computing Realizations. International Journal of Adaptive Control and Signal Processing (2023)

Diaz, A. N.; Heinkenschloss, M.; Gosea, I. V.; Antoulas, A. C.: Interpolatory Model Reduction of Quadratic-Bilinear Dynamical Systems with Quadratic-Bilinear Outputs. Advances in Computational Mathematics 49, 95 (2023)

Rüther, T.; Gosea, I. V.; Jahn, L.; Antoulas, A. C.; Danzer, M. A.: Introducing the Loewner Method as a Data-Driven and Regularization-Free Approach for the Distribution of Relaxation Times Analysis of Lithium-Ion Batteries. batteries 9 (2), 132 (2023)

Sorrentino, A.; Patel, B.; Gosea, I. V.; Antoulas, A. C.; Vidaković-Koch, T.: Determination of the distribution of relaxation times through Loewner framework: A direct and versatile approach. Journal of Power Sources 585, 233575 (2023)

Gosea, I. V.: Exact and Inexact Lifting Transformations of Nonlinear Dynamical Systems: Transfer Functions, Equivalence, and Complexity Reduction. Applied Sciences 12 (5), 2333 (2022)

Gosea, I. V.; Gugercin, S.: Data-driven modeling of linear dynamical systems with quadratic output in the AAA framework. Journal of Scientific Computing 91, 16 (2022)

Gosea, I. V.; Gugercin, S.; Beattie, C.: Data-driven balancing of linear dynamical systems. SIAM Journal on Scientific Computing 44 (1), S. A554 - A582 (2022)

Gosea, I. V.; Güttel, S.: Algorithms for the Rational Approximation of Matrix-Valued Functions. SIAM Journal on Scientific Computing 43 (5), S. A3033 - A3054 (2021)

Gosea, I. V.; Zhang, Q.; Antoulas, A. C.: Preserving the DAE Structure in the Loewner Model Reduction and Identification Framework. Advances in Computational Mathematics 46, 3 (2020)

Gosea, I. V.; Petreczky, M.; Antoulas, A. C.: Data-Driven Model Order Reduction of Linear Switched Systems in the Loewner Framework. SIAM Journal on Scientific Computing 40 (2), S. B572 - B610 (2018)

Gosea, I. V.; Antoulas, A. C.: Data‐driven model order reduction of quadratic‐bilinear systems. Numerical Linear Algebra with Applications: Special Issue: 7th Workshop on Matrix Equations and Tensor Techniques 25 (6), e2200 (2018)

Gosea, I. V.; Petreczky, M.; Antoulas, A. C.; Fiter, C.: Balanced truncation for linear switched systems. Advances in Computational Mathematics 44 (6), S. 1845 - 1886 (2018)

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. In: Numerical Mathematics and Advanced Applications ENUMATH 2023, Volume 1. ENUMATH 2023: European Conference, September 4-8, Lisbon, Portugal, S. 365 - 376 (Hg. Sequeira, A.; Silvestre, A.; Valtchev, S.; Janela, J.). Springer, Cham (2025)