Jay W. McMahon

According to our database, Jay W. McMahon authored at least 19 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Training with Hard Constraints: Learning Neural Certificates and Controllers for SDEs.

Chun-Wei Kong, Sebastián Escobar, Ibon Gracia, Jay W. McMahon, Morteza Lahijanian

CoRR, February, 2026

2025

Improved Directional State Transition Tensors for Accurate Aerocapture Performance Analysis.

Grace E. Calkins, Jay W. McMahon, David C. Woffinden

CoRR, December, 2025

Optimal Rank-1 Directional State Transition Tensors.

Grace E. Calkins, Jay W. McMahon, Jackson Kulik

CoRR, November, 2025

Risk-Aware Aerocapture Guidance Through a Probabilistic Indicator Function.

Grace E. Calkins, Jay W. McMahon, Alireza Doostan, David C. Woffinden

CoRR, July, 2025

PoleStack: Robust Pole Estimation of Irregular Objects from Silhouette Stacking.

Jacopo Villa, Jay W. McMahon, Issa A. D. Nesnas

CoRR, February, 2025

Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs.

Chun-Wei Kong, Luca Laurenti, Jay W. McMahon, Morteza Lahijanian

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Bayesian Diagnosability and Active Fault Identification.

Chun-Wei Kong, Jay W. McMahon, Morteza Lahijanian

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

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 Deep Learning-based Uncertainty Propagation in SDEs.

Chun-Wei Kong, Luca Laurenti, Jay W. McMahon, Morteza Lahijanian

CoRR, 2024

An Efficient Approximation of the Second-Order Extended Kalman Filter for a Class of Nonlinear Systems.

Spencer Boone, Jay W. McMahon

Proceedings of the European Control Conference, 2024

2023

Using Surprise Index for Competency Assessment in Autonomous Decision-Making.

Akash Ratheesh, Ofer Dagan, Nisar R. Ahmed, Jay W. McMahon

CoRR, 2023

Density Estimation for Entry Guidance Problems using Deep Learning.

Jens A. Rataczak, Davide Amato, Jay W. McMahon

CoRR, 2023

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

Non-Gaussian Chance-Constrained Trajectory Control Using Gaussian Mixtures and Risk Allocation.

Spencer Boone, Jay W. McMahon

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Semi-Analytic Spacecraft Maneuver Design with Stochastic Constraints.

Spencer Boone, Jay W. McMahon

Proceedings of the American Control Conference, 2022

2021

Deep Learning Method for Martian Atmosphere Reconstruction.

Davide Amato, Jay W. McMahon

J. Aerosp. Inf. Syst., October, 2021

2020

Dual-Satellite Geolocation With Ephemeris Correction and Uncertainty Mapping.

Jeroen L. Geeraert, Jay W. McMahon

IEEE Trans. Aerosp. Electron. Syst., 2020

2019

Convex Optimization over Sequential Linear Feedback Policies with Continuous-time Chance Constraints.

Kenshiro Oguri, Masahiro Ono, Jay W. McMahon

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2013

Decentralized mean orbit element formation stability for uncoordinated maneuvers.

Marcus J. Holzinger, Jay W. McMahon

Proceedings of the American Control Conference, 2013