Research output per year
Research output per year
Personal profile
Scientific Focus
Research Interest
- Data-Driven modeling
- Nonlinear system identification
- Model order reduction
- Model predictive control
- Linear parameter-varying control systems
Current Project
Practical model predictive control for nonlinear/time-varying systems using linear-parameter varying models (DFG Proj. No. 419290163)
Curriculum Vitae
Dimitrios S. Karachalios completed his diploma in applied mathematics and physical sciences from the National Technical University of Athens (NTUA) with statistics and computer science directions, including a year M.Sc. in 2012. Continuously, he received a second M.Sc. degree in computational mechanics in fluid flow from the NTUA in 2015. After working experience and army obligations, he joined 2017 the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg, Germany, for his doctoral studies on data-driven nonlinear system reduction and identification. Since October 2022, he has been a research scientist with the Institute for Electrical Engineering in Medicine, working on nonlinear model predictive control.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research Areas and Centers
- Research Area: Intelligent Systems
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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On the Design of Nonlinear MPC and LPVMPC for Obstacle Avoidance in Autonomous Driving
Nezami, M., Karachalios, D. S., Schildbach, G. & Abbas, H. S., 12.07.2023.Research output: Working Papers › Preprint
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On Bilinear Time-Domain Identification and Reduction in the Loewner Framework
Karachalios, D. S., Gosea, I. V. & Antoulas, A. C., 2021, International Series of Numerical Mathematics. Springer Science and Business Media Deutschland GmbH, p. 3-30 28 p. (International Series of Numerical Mathematics; vol. 171).Research output: Chapters in Books/Reports/Conference Proceedings › Chapter › peer-review
9 Citations (Scopus) -
The Loewner framework for system identification and reduction
Karachalios, D. S., Gosea, I. V. & Antoulas, A. C., 08.11.2021, System- and Data-Driven Methods and Algorithms. De Gruyter, Vol. 1. p. 181-228 48 p.Research output: Chapters in Books/Reports/Conference Proceedings › Chapter › peer-review
14 Citations (Scopus)