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@ExcitingSystems

Machine Learning Applications in Control Engineering (ML-ACE)

Research group for data-driven control and identification of nonlinear dynamic systems.
README.md

Welcome to ExcitingSystems

We research the identification, control, and excitation of nonlinear dynamic systems with automatic differentiation.

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  1. DMPE DMPE Public

    The implementation for the differentiable model predictive excitation algorithm for excitation of unknown, non-linear systems

    Jupyter Notebook 4 1

  2. exciting-environments exciting-environments Public

    Physical differential equations wrapped into Gymnasium environments

    Python 6 2

Repositories

Showing 5 of 5 repositories
  • DMPE Public

    The implementation for the differentiable model predictive excitation algorithm for excitation of unknown, non-linear systems

    ExcitingSystems/DMPE’s past year of commit activity
    Jupyter Notebook 4 GPL-3.0 1 0 1 Updated Apr 11, 2025
  • exciting-environments Public

    Physical differential equations wrapped into Gymnasium environments

    ExcitingSystems/exciting-environments’s past year of commit activity
    Python 6 MIT 2 4 1 Updated Apr 11, 2025
  • to-the-edge Public Forked from max-schenke/EdgeRL

    .. and beyond

    ExcitingSystems/to-the-edge’s past year of commit activity
    Python 0 MIT 2 0 0 Updated Sep 6, 2023
  • .github Public
    ExcitingSystems/.github’s past year of commit activity
    0 0 0 0 Updated Feb 3, 2023
  • exciting-systems-research Public

    Code released by the ExcitingSystems research group to support scientific publications

    ExcitingSystems/exciting-systems-research’s past year of commit activity
    0 Apache-2.0 0 0 0 Updated Feb 3, 2023

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