no code implementations • 27 Mar 2024 • Daniel Menges, Trym Tengesdal, Adil Rasheed
This article proposes an approach for collision avoidance, path following, and anti-grounding of autonomous surface vessels under consideration of environmental forces based on Nonlinear Model Predictive Control (NMPC).
no code implementations • 27 Mar 2024 • Daniel Menges, Adil Rasheed
While RPCA offers an enhanced alternative to traditional Principal Component Analysis (PCA) for high-dimensional data management, the scope of this work extends its utilization, focusing on robust, data-driven modeling applicable to huge data sets in real-time.
no code implementations • 4 Dec 2023 • Aksel Vaaler, Svein Jostein Husa, Daniel Menges, Thomas Nakken Larsen, Adil Rasheed
Results demonstrate the PSF's effectiveness in maintaining safety without hindering the RL agent's learning rate and performance, evaluated against a standard RL agent without PSF.
no code implementations • 15 Nov 2022 • Daniel Menges, Adil Rasheed
To investigate the capability of this observer framework, the environmental disturbances are simulated dynamically under consideration of different model and measurement uncertainties.