max-schenke / EdgeRLLinks
Edge Reinforcement Learning for Motor Control
☆14Updated 10 months ago
Alternatives and similar repositories for EdgeRL
Users that are interested in EdgeRL are comparing it to the libraries listed below
Sorting:
- Demonstration examples of the Deep Q Direct Torque Control algorithm for permanent magnet synchronous motors☆15Updated last year
- Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"☆14Updated last year
- This is the MATLAB code for article "Static Output Feedback Data-Driven Control for Unknown Discrete-Time Linear Switched Systems"☆9Updated 3 years ago
- ☆9Updated 3 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 5 years ago
- H_inf tracking control for linear discrete-time systems using ADP☆10Updated 5 years ago
- Comparing the performance of Reinforcement learning models to control temperature with that of a PID and a thermostat controller.☆13Updated 5 years ago
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆16Updated 7 years ago
- A data-driven method for linear quadratic control with state and control constraints☆12Updated 2 years ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆13Updated 2 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago
- This repository contains the MATLAB implementation for the Robust Adaptive Learning Model Predictive Control (RALMPC) framework proposed …☆10Updated 2 months ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆24Updated last year
- This repository contains the code for the method presented in the paper "Safe Data-Driven Model Predictive Control of Systems with Comple…☆11Updated 2 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
- ☆19Updated last year
- A collection of code examples for different Data-driven Predictive Control algorithms applied to LTI systems.☆17Updated 10 months ago
- ☆16Updated 2 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆23Updated 3 years ago
- Matlab Source for fundamental adaptive critic designs☆9Updated 12 years ago
- This research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control i…☆18Updated 7 months ago
- My Master Thesis in the area of Data-Driven Control Engineering☆12Updated 3 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆19Updated 2 years ago
- code of paper: Adaptive Feedforward Neural Network Control With an Optimized Hidden Node Distribution☆32Updated 3 years ago
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆19Updated 2 years ago
- ☆10Updated 7 years ago
- Code associated with the ADCHEM 2021 Workshop on Machine Learning and Model Predictive Control☆15Updated 4 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
- This example uses Soft Actor Critic(SAC) based reinforcement learning to develop the mobile robot navigation. For a brief summary of the …☆15Updated 3 years ago