datadrivencontrol / pyvrftLinks
Virtual Reference Feedback Tuning
☆9Updated 5 years ago
Alternatives and similar repositories for pyvrft
Users that are interested in pyvrft are comparing it to the libraries listed below
Sorting:
- Virtual Reference Feedback Tuning (VRFT) Python Library - Alessio Russo (alessior@kth.se)☆14Updated 2 years ago
- My undergraduate final project - Modeling and control of a distillation column using neural networks and reinforcement learning.☆12Updated 5 years ago
- Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dar…☆21Updated 3 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆21Updated 5 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆55Updated 2 years ago
- SIMBa☆12Updated 4 months ago
- By using PLECS and Simulink, the goal of this project is to provide voltage and frequency restoration. The methods will include finite ti…☆12Updated 7 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆58Updated 2 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…☆18Updated 6 months ago
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆17Updated 3 years ago
- A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objec…☆21Updated 6 months ago
- Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters☆18Updated 3 years ago
- Matlab Dynamics and Control☆42Updated 2 years ago
- ☆9Updated 3 years ago
- Toolbox for system identification of nonlinear state space grey-box models using CasADi☆25Updated last year
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆15Updated 2 years ago
- Process Control code, include optimization, Model Predictive Control (MPC), Moving Horizon, Kalman filter etc☆23Updated 6 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆17Updated last year
- NiravRaiyani / Implementation-and-comparison-of-Advanced-process-control-strategies-to-stirred-tank-mixing-processImplementation of Linear Quadratic Regulator (LQR), Minimum Principle and Model Predictive Control(MPC) to stirred tank mixing process☆17Updated last year
- AleksandarHaber / Subspace-Identification-State-Space-System-Identification-of-Dynamical-Systems-and-Time-Series-☆46Updated 2 months ago
- Code associated with the ADCHEM 2021 Workshop on Machine Learning and Model Predictive Control☆15Updated 4 years ago
- Dynamic Programming and Optimal Control (151-0563-01) Fall 2019 Programming Exercise☆18Updated 5 years ago
- Repository for the course "Model Predictive Control" - SSY281 at Chalmers University of Technology☆15Updated 5 years ago
- This folder contains the codes and data used for papers: Shi, Yuanyuan, Bolun Xu, Yushi Tan, Daniel Kirschen, and Baosen Zhang. "Optimal …☆16Updated 5 years ago
- Reduced Order Model Predictive Control☆24Updated 3 years ago
- Newer Matlab Implementation of Machine Learning Control☆15Updated 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 10 months ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆23Updated 2 years ago
- Frequency Domain Identification Matlab Toolbox☆9Updated 2 years ago
- [L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆21Updated 6 months ago