rssalessio / PyZPCLinks
Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.
☆11Updated 2 years ago
Alternatives and similar repositories for PyZPC
Users that are interested in PyZPC are comparing it to the libraries listed below
Sorting:
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆21Updated 5 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆17Updated last year
- Tube-Based Zonotopic Data Driven Predictive Control☆9Updated 2 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆23Updated 2 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆15Updated 2 years ago
- Data-enabled predictive control (DeePC) implementation using MATLAB☆28Updated last year
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Updated last year
- This is the MATLAB code for article "Static Output Feedback Data-Driven Control for Unknown Discrete-Time Linear Switched Systems"☆10Updated 3 years ago
- ☆14Updated 4 years ago
- ☆15Updated 2 years ago
- ☆23Updated last year
- All the code needed to learn models from data using Koopman operator approach.☆11Updated 6 years ago
- Tube-certified nonlinear tracking with robust control contraction metrics☆27Updated last year
- Data-driven Koopman control theory applied to reinforcement learning!☆33Updated last year
- ☆22Updated 4 years ago
- Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters☆18Updated 3 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆47Updated 4 years ago
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated last year
- In this toolbox you find a family of PBSID algorithms for LTI, LPV and other model structures.☆15Updated 7 years ago
- This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning b…☆19Updated 7 months ago
- Synthesis of control barrier functions with SOS☆13Updated last year
- Data Driven Reachability Analysis from Noisy Data☆29Updated last year
- A CSTR example is used to illustrate the application of LMPC using RNN models to maintain the closed-loop state within the stability regi…☆13Updated 11 months ago
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆18Updated 2 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆27Updated 3 years ago
- [L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆21Updated 7 months ago
- A collection of code examples for different Data-driven Predictive Control algorithms applied to LTI systems.☆17Updated 11 months ago
- Learning-Based Efficient Approximation of Data-Enabled Predictive Control☆14Updated last year
- ☆8Updated 2 years ago
- ☆73Updated 7 years ago