forgi86 / dynonetLinks
"dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga
☆46Updated last year
Alternatives and similar repositories for dynonet
Users that are interested in dynonet are comparing it to the libraries listed below
Sorting:
- Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"☆22Updated last year
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆60Updated 4 months ago
- Toolbox for system identification of nonlinear state space grey-box models using CasADi☆26Updated last year
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆31Updated 2 years ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆85Updated last month
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆42Updated 2 months ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆62Updated 4 months ago
- Koopman Reduced-Order Nonlinear Identification and Control☆90Updated 5 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆78Updated last year
- Data-driven dynamical systems toolbox.☆74Updated 3 weeks ago
- Differentiable predictive control (DPC) policy optimization examples.☆55Updated 2 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated 2 years ago
- AleksandarHaber / Subspace-Identification-State-Space-System-Identification-of-Dynamical-Systems-and-Time-Series-☆48Updated 4 months ago
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- GLIS package☆30Updated 2 years ago
- ☆45Updated 3 years ago
- System identification in PyTorch☆26Updated 2 years 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
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆47Updated 4 years ago
- In this toolbox you find a family of PBSID algorithms for LTI, LPV and other model structures.☆16Updated 7 years ago
- Python simulation and hardware library for learning and control☆20Updated 2 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆65Updated 4 years ago
- A general-purpose Python package for Koopman theory using deep learning.☆106Updated 6 months ago
- ☆281Updated 5 years ago
- Code to reproduce the results of the paper In-context learning for model-free system identification☆17Updated last year
- Deep neural networks for system identification problems. (WIP)☆11Updated 5 years ago
- This project deals with learning to reproduce the input-output behavior of state-space models using recurrent neural networks and the Ker…☆34Updated 4 months ago
- HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…☆183Updated last year
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆21Updated last year
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago