haozhg / omlLinks
AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
☆33Updated 3 years ago
Alternatives and similar repositories for oml
Users that are interested in oml are comparing it to the libraries listed below
Sorting:
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆65Updated 9 months ago
- "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga☆48Updated last year
- Koopman Reduced-Order Nonlinear Identification and Control☆93Updated 5 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆50Updated 5 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆81Updated last year
- Koopman operator identification library in Python, compatible with `scikit-learn`☆103Updated 4 months ago
- Differentiable predictive control (DPC) policy optimization examples.☆62Updated 2 years ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆67Updated 9 months ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆139Updated last month
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆19Updated 4 years ago
- ☆42Updated 2 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆72Updated 8 years ago
- Toolbox for system identification of nonlinear state space grey-box models using CasADi☆26Updated 2 years ago
- ☆45Updated 4 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆62Updated 3 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆34Updated 2 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 10 months ago
- ☆80Updated 7 years ago
- A framework for neural network control of dynamical systems over graphs.☆57Updated 3 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆25Updated 5 years ago
- ☆296Updated 5 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆70Updated 4 years ago
- Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dar…☆21Updated 4 years ago
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆43Updated 6 years ago
- ☆89Updated 2 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆27Updated 3 years ago
- ☆20Updated 5 years ago
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆94Updated 8 years ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆29Updated 3 years ago
- Enforcing robust control guarantees within neural network policies☆56Updated 4 years ago