Jay W. McMahon

20 papers A 1C 2Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Training with Hard Constraints: Learning Neural Certificates and Controllers for SDEs.
CoRR
Chun-Wei Kong, Sebastián Escobar, Ibon Gracia, Jay W. McMahon, Morteza Lahijanian
2025 — conf
Bayesian Diagnosability and Active Fault Identification.
CDC
Chun-Wei Kong, Jay W. McMahon, Morteza Lahijanian
2025 J jnl
Bayesian Diagnosability and Active Fault Identification.
CoRR
Chun-Wei Kong, Jay W. McMahon, Morteza Lahijanian
2025 A conf
Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs.
UAI
Chun-Wei Kong, Luca Laurenti, Jay W. McMahon, Morteza Lahijanian
2025 J jnl
Improved Directional State Transition Tensors for Accurate Aerocapture Performance Analysis.
CoRR
Grace E. Calkins, Jay W. McMahon, David C. Woffinden
2025 J jnl
Optimal Rank-1 Directional State Transition Tensors.
CoRR
Grace E. Calkins, Jay W. McMahon, Jackson Kulik
2025 J jnl
PoleStack: Robust Pole Estimation of Irregular Objects from Silhouette Stacking.
CoRR
Jacopo Villa, Jay W. McMahon, Issa A. D. Nesnas
2025 J jnl
Risk-Aware Aerocapture Guidance Through a Probabilistic Indicator Function.
CoRR
Grace E. Calkins, Jay W. McMahon, Alireza Doostan, David C. Woffinden
2024 J jnl
A Control Framework for CUBESAT Rendezvous and Proximity Operations using Electric Propulsion.
CoRR
Bo-Chuan Lin, Chun-Wei Kong, Simone Semeraro, Jay W. McMahon
2024 — conf
An Efficient Approximation of the Second-Order Extended Kalman Filter for a Class of Nonlinear Systems.
ECC
Spencer Boone, Jay W. McMahon
2024 J jnl
Error Bounds for Deep Learning-based Uncertainty Propagation in SDEs.
CoRR
Chun-Wei Kong, Luca Laurenti, Jay W. McMahon, Morteza Lahijanian
2023 J jnl
Density Estimation for Entry Guidance Problems using Deep Learning.
CoRR
Jens A. Rataczak, Davide Amato, Jay W. McMahon
2023 J jnl
Using Surprise Index for Competency Assessment in Autonomous Decision-Making.
CoRR
Akash Ratheesh, Ofer Dagan, Nisar R. Ahmed, Jay W. McMahon
2022 J jnl
Gravity Estimation at Small Bodies via Optical Tracking of Hopping Artificial Probes.
CoRR
Jacopo Villa, Andrew French, Jay W. McMahon, Daniel J. Scheeres, Benjamin J. Hockman
2022 — conf
Non-Gaussian Chance-Constrained Trajectory Control Using Gaussian Mixtures and Risk Allocation.
CDC
Spencer Boone, Jay W. McMahon
2022 C conf
Semi-Analytic Spacecraft Maneuver Design with Stochastic Constraints.
ACC
Spencer Boone, Jay W. McMahon
2021 J jnl
Deep Learning Method for Martian Atmosphere Reconstruction.
J. Aerosp. Inf. Syst.
Davide Amato, Jay W. McMahon
2020 J jnl
Dual-Satellite Geolocation With Ephemeris Correction and Uncertainty Mapping.
IEEE Trans. Aerosp. Electron. Syst.
Jeroen L. Geeraert, Jay W. McMahon
2019 — conf
Convex Optimization over Sequential Linear Feedback Policies with Continuous-time Chance Constraints.
CDC
Kenshiro Oguri, Masahiro Ono, Jay W. McMahon
2013 C conf
Decentralized mean orbit element formation stability for uncoordinated maneuvers.
ACC
Marcus J. Holzinger, Jay W. McMahon