The Systems and Control Lab (SCL) is the leading research entity in the field of control and mathematical systems sciences in Hungary. The scope of research involves advanced methods of systems modeling and control, analysis and synthesis of dynamical systems created by traditional and emerging technologies. Systems identification, detection and filtering, signal and image processing are parts of the research with special emphasis on operational robustness, safety and security of the solutions.
Publication date
2024
In: IEEE 22nd International Symposium on Intelligent Systems and Informatics (SISY 2024) IEEE Hungary Section, Pula, pp. 000011-000016.
In: Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics SCITEPRESS - Science and Technology Publications, Setubal, pp. 15-25.
Expanded Applicability: Multi-Agent Reinforcement Learning-Based Traffic Signal Control in a Variable-Sized Environment
In: Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics SCITEPRESS - Science and Technology Publications, Setubal, pp. 117-124.
Adaptive Highway Traffic Management: A Reinforcement Learning Approach for Variable Speed Limit Control with Random Anomalies
In: 2024 IEEE 63rd Conference on Decision and Control (CDC) Proceedings of the IEEE Conference on Decision and Control Institute of Electrical and Electronics Engineers (IEEE), Piscataway (NJ), pp. 7226-7231.
Enhanced LPV-based lateral control using ultra-local model-based slip angle estimation
In: 2024 IEEE 63rd Conference on Decision and Control (CDC) Proceedings of the IEEE Conference on Decision and Control Institute of Electrical and Electronics Engineers (IEEE), Piscataway (NJ), pp. 2025-2030.
Frequency Domain Auto-tuning of Structured LPV Controllers for High-Precision Motion Control