Decentralized mean orbit element formation stability for uncoordinated maneuvers. - Marcus J. Holzinger; Jay W. McMahon (ACC, 2013)

Convex Optimization over Sequential Linear Feedback Policies with Continuous-time Chance Constraints. - Kenshiro Oguri; Masahiro Ono; Jay W. McMahon (CDC, 2019)

Dual-Satellite Geolocation With Ephemeris Correction and Uncertainty Mapping. - Jeroen L. Geeraert; Jay W. McMahon (IEEE Trans. Aerosp. Electron. Syst., 2020)

Deep Learning Method for Martian Atmosphere Reconstruction. - Davide Amato; Jay W. McMahon (J. Aerosp. Inf. Syst., 2021)

Semi-Analytic Spacecraft Maneuver Design with Stochastic Constraints. - Spencer Boone; Jay W. McMahon (ACC, 2022)

Non-Gaussian Chance-Constrained Trajectory Control Using Gaussian Mixtures and Risk Allocation. - Spencer Boone; Jay W. McMahon (CDC, 2022)

Gravity Estimation at Small Bodies via Optical Tracking of Hopping Artificial Probes. - Jacopo Villa; Andrew French; Jay W. McMahon; Daniel J. Scheeres; Benjamin J. Hockman (CoRR, 2022)

Density Estimation for Entry Guidance Problems using Deep Learning. - Jens A. Rataczak; Davide Amato; Jay W. McMahon (CoRR, 2023)

Using Surprise Index for Competency Assessment in Autonomous Decision-Making. - Akash Ratheesh; Ofer Dagan; Nisar R. Ahmed; Jay W. McMahon (CoRR, 2023)

An Efficient Approximation of the Second-Order Extended Kalman Filter for a Class of Nonlinear Systems. - Spencer Boone; Jay W. McMahon (ECC, 2024)

Error Bounds for Deep Learning-based Uncertainty Propagation in SDEs. - Chun-Wei Kong; Luca Laurenti; Jay W. McMahon; Morteza Lahijanian (CoRR, 2024)

A Control Framework for CUBESAT Rendezvous and Proximity Operations using Electric Propulsion. - Bo-Chuan Lin; Chun-Wei Kong; Simone Semeraro; Jay W. McMahon (CoRR, 2024)

Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs. - Chun-Wei Kong; Luca Laurenti; Jay W. McMahon; Morteza Lahijanian (UAI, 2025)

PoleStack: Robust Pole Estimation of Irregular Objects from Silhouette Stacking. - Jacopo Villa; Jay W. McMahon; Issa A. D. Nesnas (CoRR, 2025)

Risk-Aware Aerocapture Guidance Through a Probabilistic Indicator Function. - Grace E. Calkins; Jay W. McMahon; Alireza Doostan; David C. Woffinden (CoRR, 2025)