3 papers
eess.SY2025
A Deep Learning Density Shaping Model Predictive Gust Load Alleviation Control of a Compliant Wing Subjected to Atmospheric Turbulence
Seid H. Pourtakdoust, Amir H. Khodabakhsh
This study presents a novel deep learning approach aimed at enhancing stochastic Gust Load Alleviation (GLA) specifically for compliant wings. The approach incorporates the concept…
eess.SY2024
Prediction-Based Control Barrier Functions for Input-Constrained Safety Critical Systems
Ali Mesbah, Seid H. Pourtakdoust, Alireza Sharifi +1
Control barrier functions (CBFs) have emerged as a popular topic in safety critical control due to their ability to provide formal safety guarantees for dynamical systems. Despite…
cs.RO2024
An Improved Multi-State Constraint Kalman Filter for Visual-Inertial Odometry
M. R. Abdollahi, Seid H. Pourtakdoust, M. H. Yoosefian Nooshabadi +1
Fast pose estimation (PE) is of vital importance for successful mission performance of agile autonomous robots. Global Positioning Systems such as GPS and GNSS have been typically…