Damien Guého

Damien Guého

PhD, Aerospace Engineer

Biography

I am an aerospace engineer and an R&D engineer at Geminus.AI, developing new algorithms and methods to build resilient predictive models for various engineering and industrial applications. I graduated from Centrale Lyon in 2019 with an engineering degree, obtained my MS in 2019 and my PhD in 2022 from the CASS Lab in the Department of Aerospace Engineering at The Pennsylvania State University working with Prof. Puneet Singla.

My research focuses on a wide range of topics in data-driven analysis and control of dynamical systems, with particular interests for high-dimensional and complex dynamical systems, data-driven system identification, reduced-order modeling, uncertainty quantification, stochastic analysis and model-based control. I also acquired a rich expertise in astrodynamics, conjunction assessment, and optimal control throughout my studies at Penn State and internships.

I am devoting my professional life to the pursuit of novel research and ideas in the areas of data-driven analysis and control of complex dynamical systems for various industrial applications, especially in the fields of space, air or robotics. My focus is to develop a rigorous and analytical mind, and to study the most challenging projects using a combination of newly developed and existing methods in engineering.

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Interests
  • High-dimensional nonlinear dynamical systems
  • Data-driven system identification and reduced-order modeling
  • Uncertainty quantification
  • Stochastic analysis
  • Model-based control
Education

  • PhD in Aerospace Engineering, 2022

    The Pennsylvania State University, University Park, USA

  • MS in Aerospace Engineering, 2019

    The Pennsylvania State University, University Park, USA

  • BS and MS Engineering Sciences, 2019

    École Centrale de Lyon, Lyon, France

Projects

Data-Driven System Identification Website

Data-Driven System Identification Website

An educational and tutorial website on data-driven modeling for analysis and control of dynamical systems.

Python <br/> systemID package

Python
systemID package

A python package for linear, bilinear and nonlinear system identification. To install the package, just run   pip install systemID

systemID package Documentation

systemID package Documentation

A documentation with tutorials and examples for the python package systemID, with access to the GitHub repository.

Research Activities

My research activities focus on a wide range of topics in data-driven analysis and control of dynamical systems, with particular interests for guidance, navigation and control (GNC) problems, reduced-order modeling of high-dimensional complex dynamical systems, and model-based control. Here are some past and current research topics I am actively working on.

Application of tensor algebra for the identification of high-dimensional systems and dynamics with process parameters
Combining tensor algebra with popular system identification techniques unlocks better computational efficiency in the modeling of high-dimensional dynamical systems as well as new algorithmic techniques for systems with process parameters.
Distinct plant/controller data-driven identification framework for closed-loop dynamics
The objective is to develop an accurate and distinct modeling framework of a plant and controller dynamics in cases where a system may be operating in closed-loop and only closed-loop data are available for modeling.
Distinct plant/controller data-driven identification framework for closed-loop dynamics
Unified and robust data-driven framework for reduced-order modeling and model-based control
The objective is to develop a computationally fast, robust and accurate data-driven framework (as a Python package) that combines the latest techniques in reduced-order modeling, analysis and control of challenging dynamical systems.
Unified and robust data-driven framework for reduced-order modeling and model-based control
Unified Koopman framework for robust data-driven identification of nonlinear systems
This framework aims to aggregate the latest data-driven techniques regarding the identification of Koopman operators for nonlinear systems, with or without exogeneous inputs.
Unified Koopman framework for robust data-driven identification of nonlinear systems
Optimal feedback control under uncertainty for hypersonic re-entry vehicles
The objective of this work is to establish flexible, accurate and navigable flight trajectories for hypersonic vehicles without human interference.
Optimal feedback control under uncertainty for hypersonic re-entry vehicles
Reduced-order modeling and analysis for high-fidelity aero-thermo-servo-elasticity (ATSE) simulation for hypersonic vehicles
This research work is on the development of new algorithms to study the nonlinear coupled dynamics between structural dynamics, heat transfer, and hypersonic aerothermodynamics.
Reduced-order modeling and analysis for high-fidelity aero-thermo-servo-elasticity (ATSE) simulation for hypersonic vehicles
Computationally efficient approach for stochastic reachability set analysis
This research work aims to study the significant challenges associated to automating the decision support system of maneuvering Unmanned Autonomous Systems (UAS) in presence of nonlinearities, uncertainties associated with system parameters, states and external disturbances together with an embedded control input.
Computationally efficient approach for stochastic reachability set analysis

Publications

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M. Vedantam, C. A. Vargas Venegas, Damien Guého, P. Singla, M. Akella (2023). On-Board Optimal Feedback Controller Generation for Hypersonic Re-Target Scenarios. 2023 AIAA SCITECH Forum, National Harbor, MD.

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Damien Guého, M. Brownell, P. Singla (2023). Data-Driven Time-Varying Eigensystem Realization Algorithm With Data-Correlation. 2023 AIAA SCITECH Forum, National Harbor, MD.

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Damien Guého, P. Singla (2022). Towards a Data-driven Bilinear Koopman Operator for Controlled Nonlinear Systems and Sensitivity Analysis. 2022 DDDAS Conference, MIT, Cambridge, MA.

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M. Brownell, Damien Guého, R. Eapen, P. Singla (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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Damien Guého (2022). Data-driven Modeling for Analysis and Control of Dynamical Systems. Dissertation, Doctor of Philosophy, Aerospace Engineering, Damien Guého.

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Damien Guého, P. Singla, D. Huang, M. Majji (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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Damien Guého, P. Singla, D. Huang (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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Damien Guého, M. Majji, P. Singla (2021). Data-Based Modeling and Control of Dynamical Systems - Parameter Estimation. 2021 IEEE Conference on Decision and Control, Virtual.

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Damien Guého, P. Singla, M. Majji, J.-N. Juang (2021). Advances in System Identification: Theory and Applications. 2021 IEEE Conference on Decision and Control, Virtual.

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Damien Guého, P. Singla, M. Majji (2021). Time-Varying Koopman Operator Theory for Nonlinear Systems Prediction. 2021 IEEE Conference on Decision and Control, Virtual.

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Recent & Upcoming Talks

Data-Driven Time-Varying Eigensystem Realization Algorithm With Data-Correlation
Jan 26, 2023 2023 AIAA SciTech Forum and Exposition
Towards a Data-driven Bilinear Koopman Operator for Controlled Nonlinear Systems and Sensitivity Analysis
Oct 8, 2022 Massachussets Institute of Technology (MIT)
Data-Driven Modeling for Analysis and Control of Dynamical Systems
Aug 1, 2022 Penn State Aerospace Department
A Unified and Robust Data-Driven Framework for Analysis and Control
Feb 11, 2022 Penn State Aerospace Department CASS Meeting
Application of the Time-Varying Koopman Operator for Bifurcation Analysis in Hypersonic Aerothermoelasticity
Jan 4, 2022 2022 AIAA SciTech Forum and Exposition
Time-Varying Koopman Operator Theory for Nonlinear Systems Prediction
Dec 14, 2021 2021 Conference on Decision and Control
Advances in System Identification - Theory and Applications
Dec 13, 2021 2021 Conference on Decision and Control
Continuous Bilinear System Identification
Sep 10, 2021 Penn State Aerospace Department CASS Meeting
Data-Driven Sparse Approximation for the Identification of Nonlinear Dynamical Systems
Apr 23, 2021 Penn State Aerospace 597 System Identification Sp21
Koopman Analysis and Finite Linear Representations of Nonlinear Dynamics
Apr 19, 2021 Penn State Aerospace 597 System Identification Sp21
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Teaching Experience

 
 
 
 
 
AERSP 597 - System Identification
Co-instructor
AERSP 597 - System Identification
Jan 2021 – May 2021 The Pennsylvania State University, University Park, USA
Co-taught the graduate level course AERSP 597 - System Identification with Dr. P. Singla. Shared the duties for lectures, homework assignments and exams. Responsible for grading and half of the office hours. Gave lectures on nonlinear system identification, embeddings and Koopman operator, observer-controller system identification. Taught practical implementation of system identification algorithms in Python.
 
 
 
 
 
AERSP 305 - Aerospace Structures
Teaching Assistant
AERSP 305 - Aerospace Structures
Jan 2018 – May 2018 The Pennsylvania State University, University Park, USA
Responsible for 10h/week of lab sessions on aerospace structures and vibrations. This involves guiding 25 students every week in performing experiments, grading reports and providing theoretical background as support from the materials taught in class.
 
 
 
 
 
AERSP 313 - Aerospace Analysis
Teaching Assistant
AERSP 313 - Aerospace Analysis
Aug 2017 – Dec 2017 The Pennsylvania State University, University Park, USA
Class of 130+ students. Responsible for grading, office hours and writing homework assignments with 3 other TAs. Responsible for review sessions before exams.

Honors

  • 2022, Guidance, Navigation, and Control (GNC) TC Graduate Award.
    To help support the future aerospace professionals. Learn more AIAA | Learn more PSU | Learn more AA

  • 2021, Alpha Musser/Ross Scholarship, Alpha Fire Company.
    Scholarship to recognize the importance of continuing education and to assist members in the pursuit of post‐secondary education.

  • 2020, Alpha Musser/Ross Scholarship, Alpha Fire Company.
    Scholarship to recognize the importance of continuing education and to assist members in the pursuit of post‐secondary education.

  • 2020, AIAA/AAS Breakwell Award, Best conference paper award.
    To encourage and promote research activity in space flight mechanics and astrodynamics. Costs for the 2020 AIAA/AAS Astrodynamics Conference covered. Learn more

  • 2018, AIAA Diversity Scholarship.
    Costs for the 2018 AIAA SciTech Forum covered. Learn more

Affiliations

  • AIAA, AAS, IEEE, Member.

  • Jan 2024, AIAA SciTech, Reviewer
  • Dec 2023, IEEE Conference on Decision and Control (CDC), Reviewer
  • Jan 2023, AIAA SciTech, Reviewer
  • Jun 2022, American Control Conference (ACC), Reviewer
  • Jan 2022, AIAA SciTech, Reviewer
  • Dec 2021, IEEE Conference on Decision and Control (CDC), Reviewer
  • Dec 2021, IEEE Conference on Decision and Control (CDC), Author for the tutorial session: Fundamentals of Data‐Driven Modeling and Control
  • Aug 2021, AAS/AIAA Astrodynamics Specialist Conference, Session Chair

  • Since 2022, The Journal of the Astronautical Sciences, Reviewer
  • Since 2022, Journal of Guidance, Control and Dynamics, Reviewer