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
2023
PROCEEDINGS OF MACHINE LEARNING RESEARCH, 211, pp. 1429-1440. ISSN 2640-3498
Wing shape estimation with Extended Kalman filtering and KalmanNet neural network of a flexible wing aircraft
In: Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics SciTePress Science and Technology Publications, Lda, Setubal, pp. 142-149.
Lateral Control for Automated Vehicles Based on Model Predictive Control and Error-Based Ultra-Local Model
In: IEEE 17th International Symposium on Applied Computational Intelligence and Informatics SACI 2023 : Proceedings Obuda University; IEEE Hungary Section, Budapest, pp. 27-32.
Safe trajectory design for indoor drones using reinforcement-learning-based methods
In: Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics SciTePress Science and Technology Publications, Lda, Setubal, pp. 41-49.
An Observer Design Method Using Ultra-Local Model for Autonomous Vehicles