rssalessio / PyZPCLinks
Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.
☆11Updated 3 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"☆19Updated 2 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆15Updated 2 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆24Updated 3 years ago
- Data Driven Reachability Analysis from Noisy Data☆34Updated last year
- Tube-Based Zonotopic Data Driven Predictive Control☆10Updated 2 years ago
- Data-enabled predictive control (DeePC) implementation using MATLAB☆31Updated 2 years ago
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated 2 years ago
- Synthesis of control barrier functions with SOS☆15Updated 2 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆65Updated 2 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆34Updated 2 years ago
- All the code needed to learn models from data using Koopman operator approach.☆12Updated 6 years ago
- Code needed to reproduce the examples in "Data-driven System Level Synthesis" by Anton Xue and Nikolai Matni.☆11Updated 3 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…☆25Updated 11 months ago
- Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters☆18Updated 3 years ago
- ☆14Updated 5 years ago
- This is the MATLAB code for article "Static Output Feedback Data-Driven Control for Unknown Discrete-Time Linear Switched Systems"☆10Updated 4 years ago
- ☆21Updated 4 years ago
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Updated 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…☆14Updated last year
- In this toolbox you find a family of PBSID algorithms for LTI, LPV and other model structures.☆16Updated 8 years ago
- A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objec…☆22Updated 11 months ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆79Updated last year
- Tube-certified nonlinear tracking with robust control contraction metrics☆28Updated 2 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆49Updated 5 years ago
- Continuous-time system identification with neural networks☆27Updated 4 months ago
- ☆77Updated 7 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- ☆25Updated last year
- ☆15Updated 2 years ago