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JMoyalan/README.md
  • 👋 Hi, I'm Joseph Moyalan and I am a PhD student at the Mechanical Engineering Department of Clemson University with a focus on Dynamics and Control systems.
  • 👀 I'm interested in optimization and optimal control of nonlinear systems.
  • 🌱 My current projects involve data-driven control of nonlinear systems for safety and convergence. This involves the use of the density function from measure theory to provide a convex formulation for optimal control problems in the function space. My other projects involve the safe navigation of complex nonlinear systems using control density functions.
  • 👯 I’m looking to collaborate on machine learning implementation for control of real-world examples like robotics, vehicle dynamics, and navigation.
  • 🔭 To look at my recent publications, please visit my Google Scholar page here.
  • 📫 How to reach me: josephraphelm@gmail.com

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  1. Koopman_based_data_driven_control Koopman_based_data_driven_control Public

    This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation

    MATLAB 4

  2. Koopman_based_path_optimization Koopman_based_path_optimization Public

    This approach is used to solve path optimization for off-road terrain by providing a Koopman operator based convex formulation

    MATLAB 1

  3. Safe_navigation_using_control_density_function Safe_navigation_using_control_density_function Public

    This approach is used to solve robust safe navigation using control density function.

    MATLAB 1

  4. Control_density_function-dynamic_environment Control_density_function-dynamic_environment Public

    Forked from sriram-2502/time_varying_density

    This repo is used to develop code for time-varying density functions

    MATLAB

  5. Data-Science-Projects Data-Science-Projects Public

    This repository contains all the projects pertaining to the IBM Data Science course available on Coursera website

    Jupyter Notebook

  6. Generative-Terrain-Reconstruction Generative-Terrain-Reconstruction Public

    Forked from SarangSutavani/Generative-Terrain-Reconstruction

    Using GAN to generate Terrain from LiDAR data

    Jupyter Notebook