| The Loewner framework for system identification and reduction DS Karachalios, IV Gosea, AC Antoulas Handbook on Model Reduction 1, 181-228, 2021 | 53 | 2021 |
| On Bilinear Time-Domain Identification and Reduction in the Loewner Framework DS Karachalios, IV Gosea, AC Antoulas Model Reduction of Complex Dynamical Systems, 3-30, 2021 | 29 | 2021 |
| Learning reduced-order models of quadratic dynamical systems from input-output data IV Gosea, DS Karachalios, AC Antoulas 2021 European Control Conference (ECC), 1426-1431, 2021 | 15 | 2021 |
| Data‐driven approximation methods applied to non‐rational functions DS Karachalios, IV Gosea, AC Antoulas PAMM 18 (1), e201800368, 2018 | 11 | 2018 |
| On the Design of Nonlinear MPC and LPVMPC for Obstacle Avoidance in Autonomous Driving* M Nezami, DS Karachalios, G Schildbach, HS Abbas 2023 9th International Conference on Control, Decision and Information …, 2023 | 10 | 2023 |
| A bilinear identification‐modeling framework from time domain data DS Karachalios, IV Gosea, AC Antoulas PAMM 19 (1), e201900246, 2019 | 6 | 2019 |
| Case study: Approximations of the Bessel function DS Karachalios, IV Gosea, Q Zhang, AC Antoulas arXiv preprint arXiv:1801.03390, 2017 | 6 | 2017 |
| The Loewner framework for nonlinear identification and reduction of Hammerstein cascaded dynamical systems DS Karachalios, IV Gosea, AC Antoulas PAMM 20 (1), e202000337, 2021 | 5 | 2021 |
| A framework for fitting quadratic-bilinear systems with applications to models of electrical circuits DS Karachalios, IV Gosea, AC Antoulas IFAC-PapersOnLine 55 (20), 7-12, 2022 | 4 | 2022 |
| Data-driven quadratic modeling in the Loewner framework from input-output time-domain measurements D Karachalios, IV Gosea, L Gkimisis, AC Antoulas arXiv preprint arXiv:2211.10635, 2024 | 2 | 2024 |
| Data-driven System Reduction and Identification from Input-Output Time-Domain Data with the Loewner Framework D Karachalios Otto-von-Guericke Universität Magdeburg, 2023 | 2 | 2023 |
| Error bounds in nonlinear model predictive control with linear differential inclusions of parametric-varying embeddings DS Karachalios, M Nezami, G Schildbach, HS Abbas 2024 18th International Conference on Control, Automation, Robotics and …, 2024 | 1 | 2024 |
| Parameter Refinement of a Ballbot and Predictive Control for Reference Tracking with Linear Parameter-Varying Embedding DS Karachalios, HS Abbas arXiv preprint arXiv:2402.12092, 2024 | 1 | 2024 |
| A data-driven nonlinear frequency response approach based on the Loewner framework: preliminary analysis IV Gosea, LA Živković, DS Karachalios, T Vidaković-Koch, AC Antoulas IFAC-PapersOnLine 56 (1), 234-239, 2023 | 1 | 2023 |
| Data-driven quadratic modeling in the Loewner framework DS Karachalios, IV Gosea, L Gkimisis, AC Antoulas arXiv preprint arXiv:2211.10635, 2022 | 1 | 2022 |
| Mathematische Komplexitätsreduktion: Modellreduktion dynamischer Systeme P Benner, Y Filanova, D Karachalios, SM Abdelhafez, J Przybilla, ... Mitteilungen der Deutschen Mathematiker-Vereinigung 29 (4), 198-204, 2021 | 1 | 2021 |
| On computing reduced‐order bilinear models from time‐domain data IV Gosea, DS Karachalios, AC Antoulas PAMM 21 (1), e202100254, 2021 | 1 | 2021 |
| Modeling in the Loewner framework: from linear dynamics to quadratic nonlinearities IV Gosea, D Karachalios, AC Antoulas 21st IFAC World Congress, Berlin, Germany, 2020 | 1 | 2020 |
| Stochastic Error Bounds in Nonlinear Model Predictive Control with Gaussian Processes via Parameter-Varying Embeddings DS Karachalios, HS Abbas arXiv preprint arXiv:2405.09209, 2024 | | 2024 |
| Obstacle Avoidance of Autonomous Vehicles: An LPVMPC with Scheduling Trust Region M Nezami, DS Karachalios, G Schildbach, HS Abbas arXiv preprint arXiv:2405.02030, 2024 | | 2024 |
Ion Victor GoseaMax Planck Institute for Dynamics of Complex Technical Systemsmpi-magdeburg.mpg.de의 이메일 확인됨
