25 citations · 78 across the 8 of their papers we have counts for
8 papers
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…
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…
Solution of FPK Equation for Stochastic Dynamics Subjected to Additive Gaussian Noise via Deep Learning Approach
Amir H. Khodabakhsh, Seid H. Pourtakdoust
The Fokker-Plank-Kolmogorov (FPK) equation is an idealized model representing many stochastic systems commonly encountered in the analysis of stochastic structures as well as many…
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…
A Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systems
Seid H. Pourtakdoust, Amir H. Khodabakhsh
Derivation of the probability density evolution provides invaluable insight into the behavior of many stochastic systems and their performance. However, for most real-time applica-…
Multiple-impulse orbital maneuver with limited observation window
Amir Shakouri, Seid H. Pourtakdoust, Mohammad Sayanjali
This paper proposes a solution for multiple-impulse orbital maneuvers near circular orbits for special cases where orbital observations are not globally available and the spacecraf…
A New Shape-based Multiple-impulse Strategy for Coplanar Orbital Maneuvers
Amir Shakouri, Maryam Kiani, Seid H. Pourtakdoust
A new shape-based geometric method (SBGM) is proposed for generation of multi-impulse transfer trajectories between arbitrary coplanar oblique orbits via a heuristic algorithm. The…
Covariance-Based Multiple-Impulse Rendezvous Design
Amir Shakouri, Maryam Kiani, Seid H. Pourtakdoust
A novel trajectory design methodology is proposed in the current work to minimize the state uncertainty in the crucial mission of spacecraft rendezvous. The trajectory is shaped un…