rssalessio / PythonVRFTLinks
Virtual Reference Feedback Tuning (VRFT) Python Library - Alessio Russo (alessior@kth.se)
☆14Updated 2 years ago
Alternatives and similar repositories for PythonVRFT
Users that are interested in PythonVRFT are comparing it to the libraries listed below
Sorting:
- Frequency Domain Identification Matlab Toolbox☆9Updated 2 years ago
- This simulation file demonstrates a variant of Robust Tube MPC in which the initial nominal state is a decision variable. Theoretical ba…☆14Updated last year
- model error compensator (matlab codes of journal article) robust control☆12Updated 2 years ago
- Virtual Reference Feedback Tuning☆9Updated 5 years ago
- All the code needed to learn models from data using Koopman operator approach.☆11Updated 6 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
- Matlab toolbox for computing terminal costs and sets for stabilizing nonlinear MPC☆16Updated 2 years ago
- This paper presents a data-driven control design framework to achieve robust tracking control without exploiting mathematical model of no…☆31Updated 3 years ago
- ☆24Updated 3 years ago
- ☆9Updated 3 years ago
- Advantage Actor-Critic (A2C) reinforcement learning agent used to control the motor speeds on a quadcopter in order to keep the quadcopte…☆24Updated 3 years ago
- Suite of Predictive Controllers for Industrial Embedded Systems. A Matlab toolbox for automatic code generation of solvers for MPC contro…☆17Updated 2 weeks ago
- Edge Reinforcement Learning for Motor Control☆14Updated 10 months ago
- [L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆21Updated 6 months ago
- My Master Thesis in the area of Data-Driven Control Engineering☆12Updated 3 years ago
- Research on autonomous gait learning of a snake robot, involving Gaussian process regression(GPR) and model predictive control(MPC).☆2Updated 2 years ago
- MODEL PREDICTIVE CONTROL (MPC) CONTROL BASED ON THE QUASI-MIN-MAX ALGORITHM WITH RELAXATION IN LMIS☆41Updated 6 months ago
- The nonlinear MPC scheme with guaranteed maximal terminal region based stability☆11Updated 3 years ago
- A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al t…☆12Updated 4 years ago
- A. Selivanov and E. Fridman, "Observer-based input-to-state stabilization of networked control systems with large uncertain delays," Auto…☆11Updated 8 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆19Updated 2 years ago
- Data-Driven Predictive Control☆74Updated last year
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆46Updated 4 years ago
- ☆9Updated 4 months ago
- ☆14Updated 4 years ago
- Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CA…☆17Updated last year
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆23Updated 3 years ago
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆21Updated last year
- A model predictive control (MPC) design and implementation for a quadrotor balancing an inverted pendulum. Includes a stability analysis …☆39Updated 3 years ago