forgi86 / pytorch-ident
System identification in PyTorch
☆23Updated last year
Related projects ⓘ
Alternatives and complementary repositories for pytorch-ident
- Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dar…☆19Updated 3 years ago
- "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga☆42Updated 5 months ago
- Code to reproduce the results of the paper In-context learning for model-free system identification☆13Updated 3 months ago
- Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"☆20Updated 10 months ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆45Updated 2 weeks ago
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆21Updated last month
- Code accompanying the paper "Learning neural state-space models: do we need a state estimator?"☆10Updated last year
- Koopman Reduced-Order Nonlinear Identification and Control☆83Updated 4 years ago
- Data-driven dynamical systems toolbox.☆67Updated 9 months ago
- Deep neural networks for system identification problems. (WIP)☆11Updated 5 years ago
- Toolbox for system identification of nonlinear state space grey-box models using CasADi☆23Updated last year
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆43Updated this week
- AleksandarHaber / Subspace-Identification-State-Space-System-Identification-of-Dynamical-Systems-and-Time-Series-☆38Updated 8 months ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆58Updated 6 months ago
- Continuous-time system identification with neural networks☆24Updated 3 years ago
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆29Updated 2 years ago
- ☆57Updated 6 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated last year
- ☆41Updated 3 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆52Updated 2 years ago
- A Python package to learn the Koopman operator.☆47Updated last month
- GLIS package☆22Updated last year
- Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248☆15Updated last year
- A general-purpose Python package for Koopman theory using deep learning.☆84Updated last year
- A framework for neural network control of dynamical systems over graphs.☆55Updated 2 years ago
- SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics☆130Updated 3 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆42Updated 4 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆22Updated 3 years ago
- Python simulation and hardware library for learning and control☆20Updated last year
- In this toolbox you find a family of PBSID algorithms for LTI, LPV and other model structures.☆13Updated 7 years ago