stephenadhi / nn-mpcLinks
Control simulation of a mass-spring-damper system using a model-based reinforcement learning algorithm
☆22Updated 5 years ago
Alternatives and similar repositories for nn-mpc
Users that are interested in nn-mpc are comparing it to the libraries listed below
Sorting:
- ☆80Updated 7 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆157Updated 5 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆134Updated last week
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆82Updated 5 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆89Updated last year
- Develop a Koopman operator based MPC for controlling a quadrotor☆72Updated 4 months ago
- Model-based Control using Koopman Operators☆57Updated 5 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆67Updated 2 years ago
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆94Updated 8 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 5 years ago
- Soure code for Deep Koopman with Control☆102Updated 3 years ago
- ☆15Updated 11 months ago
- Repository for Koopman based learning and nonlinear control☆52Updated 3 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆10Updated 7 years ago
- Koopman operator☆28Updated 5 years ago
- ☆296Updated 5 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆92Updated 5 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆50Updated 5 years ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆63Updated 9 months ago
- Data-driven Koopman control theory applied to reinforcement learning!☆34Updated 2 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆27Updated 3 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆29Updated 4 years ago
- ☆22Updated 4 years ago
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆48Updated 4 years ago
- Differentiable predictive control (DPC) policy optimization examples.☆61Updated 2 years ago
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆25Updated 4 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆81Updated last year
- Tube-certified nonlinear tracking with robust control contraction metrics☆29Updated 2 years ago
- All the code needed to learn models from data using Koopman operator approach.☆13Updated 6 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆140Updated 4 years ago