StanfordASL / rompc
Reduced Order Model Predictive Control
☆22Updated 3 years ago
Alternatives and similar repositories for rompc:
Users that are interested in rompc are comparing it to the libraries listed below
- ☆41Updated 3 years ago
- Matlab implementation of online and window dynamic mode decomposition algorithms☆13Updated 4 years ago
- ☆19Updated 5 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆88Updated 5 years ago
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆30Updated 2 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
- ☆23Updated 3 years ago
- ☆11Updated last year
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆73Updated 11 months ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated 2 years ago
- Compressive dynamic mode decomposition with control for compressive system identification☆39Updated 7 years ago
- This repository contains all the work developed in the context of the Master Thesis dissertation entitled Model Predictive Control for Wa…☆23Updated 2 years ago
- Newer Matlab Implementation of Machine Learning Control☆15Updated last year
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆51Updated 2 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆17Updated 3 years ago
- Data-driven reduced order modeling for nonlinear dynamical systems☆22Updated last week
- ☆71Updated 6 years ago
- Koopman Mode Decomposition☆71Updated 7 years ago
- Model-based Control using Koopman Operators☆52Updated 4 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆45Updated 4 years ago
- ☆20Updated 3 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆14Updated 2 years ago
- Learning dynamical systems from data: Koopman☆16Updated 5 years ago
- In this toolbox you find a family of PBSID algorithms for LTI, LPV and other model structures.☆15Updated 7 years ago
- All the code needed to learn models from data using Koopman operator approach.☆11Updated 6 years ago
- Algebraic Dynamic Mode Decomposition with Model Predictive Control☆24Updated 5 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆20Updated 5 years ago
- Repository for Koopman based learning and nonlinear control☆41Updated 2 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆32Updated last year