i-abr / mpc-koopman
Model-based Control using Koopman Operators
☆52Updated 4 years ago
Alternatives and similar repositories for mpc-koopman:
Users that are interested in mpc-koopman are comparing it to the libraries listed below
- ☆24Updated 4 years ago
- Repository for Koopman based learning and nonlinear control☆42Updated 2 years ago
- Neural Koopman Lyapunov Control☆24Updated 2 years ago
- Soure code for Deep Koopman with Control☆81Updated 2 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆45Updated 4 years ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆30Updated 2 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆63Updated 2 years ago
- ☆71Updated 7 years ago
- Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"☆28Updated 2 years ago
- Sampling based GP MPC☆27Updated this week
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆27Updated 2 years ago
- ☆18Updated 4 years ago
- Use deep learning to learn Koopman operator and LQR for optimal control☆16Updated 4 years ago
- ☆13Updated 2 months ago
- Adaptive control-oriented meta-learning for nonlinear systems☆62Updated 3 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆60Updated 6 months ago
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆13Updated last year
- ☆55Updated 3 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆42Updated last year
- Tube-certified nonlinear tracking with robust control contraction metrics☆26Updated last year
- Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.☆24Updated 2 weeks ago
- Implementation of reduced-order optimal control schemes for finite element models of Soft Robots☆30Updated 7 months ago
- Code for "Dynamics Harmonics Analysis of Robotic Systems: Application in Data-Driven Koopman Modeling", enabling the modeling of symmetri…☆12Updated last month
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆51Updated 2 years ago
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆68Updated 5 years ago
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆70Updated 2 years ago
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆64Updated last year
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago