asikist / nnc
A framework for neural network control of dynamical systems over graphs.
☆58Updated 2 years ago
Alternatives and similar repositories for nnc:
Users that are interested in nnc are comparing it to the libraries listed below
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆45Updated 4 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆72Updated 11 months ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆48Updated 3 years ago
- Data-driven dynamical systems toolbox.☆74Updated last month
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆38Updated 5 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆33Updated 5 years ago
- ☆15Updated 4 years ago
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆30Updated last week
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆24Updated last year
- ☆45Updated 4 years ago
- A Python package to learn the Koopman operator.☆55Updated 4 months ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆27Updated 2 years ago
- Model-based Control using Koopman Operators☆52Updated 4 years ago
- Consistent Koopman Autoencoders☆72Updated last year
- A PyTorch library for all things nonlinear control and reinforcement learning.☆46Updated 3 years ago
- Koopman operator identification library in Python, compatible with `scikit-learn`☆72Updated 4 months ago
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆45Updated last year
- ☆71Updated 6 years ago
- ☆29Updated 2 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 4 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆18Updated 2 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆31Updated last year
- A general-purpose Python package for Koopman theory using deep learning.☆97Updated 2 months ago
- ☆23Updated 3 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆88Updated 4 years ago
- project for my essay on how to use neural networks to linearise nonlinear dynamical systems☆9Updated 4 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆23Updated 4 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆88Updated 5 years ago
- Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248☆16Updated last year