pavelacamposp / direct-data-driven-mpcLinks
Robust and nonlinear Direct Data-Driven MPC controllers for LTI and nonlinear systems in Python
☆18Updated 2 months ago
Alternatives and similar repositories for direct-data-driven-mpc
Users that are interested in direct-data-driven-mpc are comparing it to the libraries listed below
Sorting:
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆65Updated 2 years ago
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆23Updated 2 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- Learning-based robust tube based MPC of nonlinear systems via difference of convex radial basis functions☆16Updated last year
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆51Updated last year
- ☆15Updated 2 years ago
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆19Updated 2 years ago
- This repository contains the code for the method presented in the paper "Safe Data-Driven Model Predictive Control of Systems with Comple…☆12Updated 2 years ago
- This collection of MATLAB scripts intends to study the performance of state-constrained controllers utilizing control barrier functions i…☆17Updated 2 years ago
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆76Updated last year
- This simulation file demonstrates a variant of Robust Tube MPC in which the initial nominal state is a decision variable. Theoretical ba…☆17Updated last year
- The reproduction of tube-based MPC for nonlinear systems☆51Updated last year
- Tube-certified nonlinear tracking with robust control contraction metrics☆28Updated 2 years ago
- A simple robust MPC for linear systems with model mismatch: Balancing conservatism vs computational complexity☆31Updated 3 years ago
- The nonlinear MPC scheme with guaranteed maximal terminal region based stability☆10Updated 4 years ago
- ☆14Updated 5 years ago
- Code needed to reproduce examples in "Robust Closed-loop Model Predictive Control via System Level Synthesis," by S. Chen, H. Wang, M. Mo…☆30Updated 5 years ago
- This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation☆13Updated last year
- ☆16Updated last year
- Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CA…☆22Updated last year
- A rigid-tube based robust MPC python package.☆67Updated 7 months ago
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆14Updated 2 years ago
- Data Driven Model Predictive Control using Gaussian Processes☆28Updated last year
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆29Updated last year
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Updated last year
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated 2 years ago
- Matlab implementation of the paper "Fast System Level Synthesis: Robust Model Predictive Control using Riccati Recursions"☆11Updated last year
- Data-Driven Predictive Control☆80Updated last year
- Matlab class/functions to simulate a system implementing a control Lyapunov-control barrier function quadratic program controller.☆48Updated 2 years ago
- Tube-Based Zonotopic Data Driven Predictive Control☆10Updated 3 years ago