rlsotlr01 / Bayesian_Optimization_for_MPC_tuningLinks
Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters
☆18Updated 3 years ago
Alternatives and similar repositories for Bayesian_Optimization_for_MPC_tuning
Users that are interested in Bayesian_Optimization_for_MPC_tuning are comparing it to the libraries listed below
Sorting:
- This repository contains simulation codes generated for the paper titled "Comparative Analysis of Data-Driven Predictive Control Strategi…☆11Updated 4 months ago
- Robust model predictive control of discrete-time time-delay systems using System Level Synthesis (linear time-varying state feedback cont…☆12Updated 2 years ago
- Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"☆14Updated last year
- Code associated with the ADCHEM 2021 Workshop on Machine Learning and Model Predictive Control☆15Updated 4 years ago
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆18Updated 2 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆19Updated 3 years ago
- ☆23Updated last year
- 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
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆24Updated 2 years ago
- course project: a simple implementation of Q learning and MPC☆18Updated 4 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆27Updated 3 years ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆28Updated last year
- A simple robust MPC for linear systems with model mismatch: Balancing conservatism vs computational complexity☆31Updated 3 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 is the MATLAB code for article "Static Output Feedback Data-Driven Control for Unknown Discrete-Time Linear Switched Systems"☆10Updated 3 years ago
- All the code needed to learn models from data using Koopman operator approach.☆11Updated 6 years ago
- Data Driven Model Predictive Control using Gaussian Processes☆25Updated 11 months ago
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆43Updated last year
- This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation☆11Updated last year
- Data-Driven Predictive Control☆77Updated last year
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆16Updated 2 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆17Updated last year
- MODEL PREDICTIVE CONTROL (MPC) CONTROL BASED ON THE QUASI-MIN-MAX ALGORITHM WITH RELAXATION IN LMIS☆40Updated 8 months ago
- Robust MPC for Linear Systems with Parametric and Additive Uncertainty☆25Updated 3 years ago
- A set of m-files that hopefully implements the ideas given in (Lu, Li et al. 2013)☆18Updated 7 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…☆19Updated last year
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆24Updated 3 years ago
- Data-driven attitude control design for multirotor UAVs☆17Updated 8 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆54Updated 7 years ago
- My Master Thesis in the area of Data-Driven Control Engineering☆12Updated 3 years ago