ContiPaolo / EKF-SINDy
Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)
☆40Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for EKF-SINDy
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆51Updated 2 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆130Updated 3 years ago
- ☆41Updated 3 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆82Updated 4 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆84Updated last year
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆57Updated 6 months ago
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆29Updated 2 years ago
- AleksandarHaber / Subspace-Identification-State-Space-System-Identification-of-Dynamical-Systems-and-Time-Series-☆38Updated 8 months ago
- ☆78Updated last year
- mathLab mirror of Python Dynamic Mode Decomposition☆77Updated 3 weeks ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆63Updated last month
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆44Updated this week
- "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga☆42Updated 5 months ago
- ☆40Updated 6 years ago
- Data-driven dynamical systems toolbox.☆65Updated 8 months ago
- ☆10Updated last year
- ☆19Updated 2 years ago
- Compressive dynamic mode decomposition with control for compressive system identification☆37Updated 6 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆72Updated 2 years ago
- Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"☆20Updated 10 months ago
- A package for computing data-driven approximations to the Koopman operator.☆312Updated this week
- ☆27Updated 4 years ago
- Tutorial on Gaussian Processes☆60Updated 4 years ago
- This project deals with learning to reproduce the input-output behavior of state-space models using recurrent neural networks and the Ker…☆27Updated 2 months ago
- Enhancing Dynamic Mode Decomposition using Autoencoder Networks.☆29Updated 3 years ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆56Updated last week
- ☆35Updated last year
- Learning Koopman operator by EDMD with trainable dictionary☆20Updated 2 years ago
- Accompanying code for "State Estimation of a Physical System without Governing Equations"☆76Updated 3 months ago