5 papers
Diffusion-Based Multiple-Shooting Indirect Optimal Control for Fuel-Optimal Spacecraft Trajectory Generation
Saeid Tafazzol, Ehsan Taheri, Ryne Beeson
Diffusion-based generative models (DMs) have found applications in control problems, and in particular robotics, where the DMs enable exploration of possible control solutions. A c…
Incorporating the nonlinearity index into adaptive-mesh sequential convex optimization for minimum-fuel low-thrust trajectory design
Saeid Tafazzol, Ehsan Taheri
Successive convex programming (SCP) is a powerful class of direct optimization methods, known for its polynomial complexity and computational efficiency, making it particularly sui…
Comparison of control regularization techniques for minimum-fuel low-thrust trajectory design using indirect methods
Saeid Tafazzol, Ehsan Taheri, Nan Li
Minimum-fuel low-thrust trajectories typically consist of a finite, yet unknown number of switches in the thrust magnitude profile. This optimality-driven characteristic of minimum…
Expanding the Class of Quadratic Control-Lyapunov Functions for Low-Thrust Trajectory Optimization
Nicholas P. Nurre, Saeid Tafazzol, Ehsan Taheri
Control laws derived from Control-Lyapunov Functions (CLFs) offer an efficient way for generating near-optimal many-revolution low-thrust trajectories. A common approach to constru…
A Comparison between Markov Chain and Koopman Operator Based Data-Driven Modeling of Dynamical Systems
Saeid Tafazzol, Nan Li, Ilya Kolmanovsky +1
Markov chain-based modeling and Koopman operator-based modeling are two popular frameworks for data-driven modeling of dynamical systems. They share notable similarities from a com…