#计算机科学#A package for the sparse identification of nonlinear dynamical systems from data
#计算机科学#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
A Python native dynamical system simulation framework in the block diagram paradigm.
Solve nonlinear heterogeneous agent models
A modular and scalable simulation framework for ultra-rapid prototyping of self-adaptive, stochastic and robust Nonlinear Model Predictive Control for Autonomous Vehicle Motion Control
A toolbox for trajectory optimization of dynamical systems
A basic nonlinear model predictive control implementation using Casadi with Unscented Kalman filter state estimation
AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
Multiscale Modelling Tool - mathematical modelling without the maths
SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations
MIT Spring 2020 Mechanical Engineering 2.152 Nonlinear Control (Professor Jean-Jacques Slotine)
Uncertainty sets for nonlinear dynamical systems
Constructing linearizing transformations for reduced-order modeling of nonlinear dynamical systems
Code to get the calculation speed for recurrence plots/ recurrence quantification analysis using MATLAB, R, Python, and Julia code.
JAX compilation of RDDL description files, and a differentiable planner in JAX.
