Publications

(2023). On-Board Optimal Feedback Controller Generation for Hypersonic Re-Target Scenarios. 2023 AIAA SCITECH Forum, National Harbor, MD.

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(2023). Data-Driven Time-Varying Eigensystem Realization Algorithm With Data-Correlation. 2023 AIAA SCITECH Forum, National Harbor, MD.

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(2022). Time-Varying Perturbation Model Identification in the Neighborhood of CR3BP Periodic Orbits. 2022 AIAA/AAS Astrodynamics Specialist Conference, Charlotte, NC.

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(2022). Data-driven Modeling for Analysis and Control of Dynamical Systems. Dissertation, Doctor of Philosophy, Aerospace Engineering, Damien Guého.

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(2022). Model-Order Reduction in Hypersonic Aerothermoelasticity Using Time-Varying Koopman Operator. 2022 Joint Army Navy NASA Air Force (JANNAF) Meeting, Newport News, VA.

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(2022). Application of the Time-Varying Koopman Operator for Bifurcation Analysis in Hypersonic Aerothermoelasticity. 2022 AIAA SciTech Forum and Exposition, San Diego, CA.

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(2021). Data-Based Modeling and Control of Dynamical Systems - Parameter Estimation. 2021 IEEE Conference on Decision and Control, Virtual.

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(2021). Advances in System Identification: Theory and Applications. 2021 IEEE Conference on Decision and Control, Virtual.

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(2021). Time-Varying Koopman Operator Theory for Nonlinear Systems Prediction. 2021 IEEE Conference on Decision and Control, Virtual.

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(2021). Filtered Integral Formulation of the Sparse Model Identification Problem. Journal of Guidance, Control, and Dynamics.

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(2021). Time-varying Linear Reduced Order Model for Hypersonic Aerothermoelastic Analysis. 2021 AIAA SciTech Forum and Exposition, Virtual.

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(2021). Sparse Nonlinear System Identification for Hypersonic Aerothermoelastic Analysis with Stochastic Loads. 2021 AIAA SciTech Forum and Exposition, Virtual.

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(2020). Data-Driven Sparse Approximation for the Identification of Nonlinear Dynamical Systems - Application in Astrodynamics. 2019 AIAA/AAS Astrodynamics Specialist Conference, Virtual.

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(2020). A Computationally Efficient Approach for Stochastic Reachability Set Analysis. 2020 AIAA SciTech Forum and Exposition, Orlando, FL.

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(2020). A Comparison of Parametric and Non-Parametric Machine Learning Approaches for the Uncertain Lambert Problem. 2020 AIAA SciTech Forum and Exposition, Orlando, FL.

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(2019). Optimal Spacecraft Docking Maneuver Using Direct and Indirect Collocation Method and Particle Swarm Optimization. 2019 AIAA/AAS Astrodynamics Specialist Conference, Portland, ME.

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(2019). Stochastic Reachability Analysis for the Hypersonic Re-entry Problem. 2019 AAS/AIAA Space Flight Mechanics Meeting, Ka’anapali, Maui, HI.

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(2019). Investigation of Different Neural Network Architectures for Dynamic System Identification - Application to Orbital Mechanics. 2019 AAS/AIAA Space Flight Mechanics Meeting, Ka’anapali, Maui, HI.

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(2018). Reconstruction of Non-Cooperative Spacecraft Maneuvers During Observation Gaps From Angles-Only Measurements Using Machine Learning. 69th International Astronautical Congress, Bremen, Germany.

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(2018). Learning Capabilities of Neural Networks and Keplerian Dynamics. 2018 AIAA/AAS Astrodynamics Specialist Conference, Snowbird, UT.

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