A package for the sparse identification of nonlinear dynamical systems from data
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Updated
Jul 10, 2024 - Python
A package for the sparse identification of nonlinear dynamical systems from data
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
pyMOR - Model Order Reduction with Python
A library for working with Cellular Automata, for Python.
A Python module implementing some standard algorithms used in nonlinear time series analysis
Solve nonlinear heterogeneous agent models
A toolbox for trajectory optimization of dynamical systems
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PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
Multiscale Modelling Tool - mathematical modelling without the maths
MIT Spring 2020 Mechanical Engineering 2.152 Nonlinear Control (Professor Jean-Jacques Slotine)
SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
A high-performance implementation of Empirical Dynamic Modeling (EDM)
Code to get the calculation speed for recurrence plots/ recurrence quantification analysis using MATLAB, R, Python, and Julia code.
Uncertainty sets for nonlinear dynamical systems
A Python Implementation of Dynamic Mode Decomposition
A toolbox to simulate and analyse nonlinear systems in a control context.
Tooling to generate toy MDOF dynamics data for arbitrary linear and nonlinear systems in python
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