MaartenSchoukens / deepSILinks
Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)
☆58Updated 2 months ago
Alternatives and similar repositories for deepSI
Users that are interested in deepSI are comparing it to the libraries listed below
Sorting:
- Continuous-time system identification with neural networks☆25Updated 3 years ago
- Toolbox for system identification of nonlinear state space grey-box models using CasADi☆25Updated last year
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆38Updated last week
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆30Updated 2 years ago
- "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga☆44Updated last year
- Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"☆22Updated last year
- Koopman operator identification library in Python, compatible with `scikit-learn`☆79Updated last month
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆25Updated 4 years ago
- SIMBa☆12Updated 4 months ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆55Updated 2 months ago
- Koopman Reduced-Order Nonlinear Identification and Control☆90Updated 5 years ago
- Companion code for Closed-Loop Koopman Operator Approximation☆16Updated last year
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆107Updated last year
- Neural Networks with CasADi☆10Updated 2 months ago
- HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…☆180Updated last year
- AleksandarHaber / Subspace-Identification-State-Space-System-Identification-of-Dynamical-Systems-and-Time-Series-☆46Updated 2 months ago
- A nonlinear MPC (NMPC) library for using a neural network as model.☆10Updated 10 months ago
- Differentiable predictive control (DPC) policy optimization examples.☆53Updated last year
- ☆23Updated 3 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆71Updated 8 months ago
- Economic tuning of tracking (N)MPC problems.☆36Updated last month
- Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dar…☆21Updated 3 years ago
- ☆72Updated 7 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆58Updated 2 years ago
- [L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆21Updated 6 months ago
- Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the Am…☆19Updated last year
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆53Updated 2 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆64Updated 4 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆75Updated last year
- ☆44Updated 3 years ago