From the 1 of 5 linked papers with an AI index.
5 papers
Mixed Bernstein-Fourier Approximants for Optimal Trajectory Generation with Periodic Behavior
Liraz Mudrik, Sean Kragelund, Isaac Kaminer
The paper proposes a mixed Bernstein-Fourier approximation framework for generating optimal trajectories that exhibit periodic behavior, providing convergence proofs, error analysi…
Saddle Point Evasion via Curvature-Regularized Gradient Dynamics
Liraz Mudrik, Isaac Kaminer, Sean Kragelund +1
Nonconvex optimization underlies many modern machine learning and control tasks, where saddle points pose the dominant obstacle to reliable convergence in high-dimensional settings…
Prescribed-Time Distributed Generalized Nash Equilibrium Seeking
Liraz Mudrik, Isaac Kaminer, Sean Kragelund +1
Safety-critical multi-agent systems, from cooperative guidance to collision avoidance, must often reach a coordinated decision by a hard deadline rather than merely converge to one…
Optimization via a Control-Centric Framework
Liraz Mudrik, Isaac Kaminer, Sean Kragelund +1
Optimization plays a central role in intelligent systems and cyber-physical technologies, where speed and reliability of convergence directly impact performance. In control theory,…
Multi-UAV Trajectory Optimization for Bearing-Only Localization in GPS Denied Environments
Alfonso Sciacchitano, Liraz Mudrik, Sean Kragelund +1
Accurate localization of maritime targets by unmanned aerial vehicles (UAVs) remains challenging in GPS-denied environments. UAVs equipped with gimballed electro-optical sensors ar…