StanfordASL / rompcLinks
Reduced Order Model Predictive Control
☆25Updated 3 years ago
Alternatives and similar repositories for rompc
Users that are interested in rompc are comparing it to the libraries listed below
Sorting:
- Koopman Reduced-Order Nonlinear Identification and Control☆90Updated 5 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆148Updated 5 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated 2 years ago
- ☆45Updated 3 years ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆27Updated 2 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆15Updated 2 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆76Updated last year
- ☆22Updated 4 years ago
- Differentiable predictive control (DPC) policy optimization examples.☆55Updated last year
- Data Driven Reachability Analysis from Noisy Data☆29Updated last year
- In this toolbox you find a family of PBSID algorithms for LTI, LPV and other model structures.☆15Updated 7 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆21Updated 5 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆72Updated 8 years ago
- Electric and hybrid electric aircraft models for component sizing☆26Updated 7 months ago
- ☆73Updated 7 years ago
- Dynamic Programming and Optimal Control (151-0563-01) Fall 2019 Programming Exercise☆18Updated 5 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆61Updated 2 years ago
- Koopman operator☆27Updated 5 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆114Updated last year
- ☆20Updated 5 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆47Updated 4 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆33Updated last year
- Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.☆11Updated 2 years ago
- All the code needed to learn models from data using Koopman operator approach.☆11Updated 6 years ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆59Updated 3 months 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
- Compressive dynamic mode decomposition with control for compressive system identification☆40Updated 7 years ago
- Koopman Mode Decomposition☆72Updated 8 years ago
- Learning-Based Efficient Approximation of Data-Enabled Predictive Control☆14Updated last year
- Matlab based optimizer framework using Sequential Quadratic Programming (SQP)☆27Updated 6 years ago