We present an automated system repair framework for cyber-physical systems. The proposed framework consists of three main steps:(1) system simulation and fault detection to …
G Saveri, L Bortolussi - Joint European Conference on Machine Learning …, 2024 - Springer
The integration of cyber-physical systems (CPS) into everyday life raises the critical necessity of ensuring their safety and reliability. An important step in this direction is …
YA Shichkina, RR Fatkieva - 2021 II International Conference …, 2021 - ieeexplore.ieee.org
A method of information security management has been developed using structural- parametric synthesis of models of cyber-physical systems based on piecemeal-linear …
Traditional symbolic learning is the sub-field of machine learning that aims to learn symbolic models from structured data, representing propositional logic theories, and its investigation …
Due to its expressivity and efficient algorithms, Signal Temporal Logic (STL) is widely used in runtime verification, formal control and analysis of time series data. While it is relatively …
I Saglam, EA Gol - 2020 28th Signal Processing and …, 2020 - ieeexplore.ieee.org
In this work, we develop an approach to anomaly detection and prevention problem using Signal Temporal Logic (STL). This approach consists of two steps: detection of the causes of …
I Saglam, EA Gol - arXiv preprint arXiv:2003.09918, 2020 - arxiv.org
In this work, we develop an approach to anomaly detection and prevention problem using Signal Temporal Logic (STL). This approach consists of two steps: detection of the causes of …