nguyentrungnghia1998 / Reinforcement-Learning-for-Optimal-Feedback-Control-SimulationLinks
☆16Updated 2 years ago
Alternatives and similar repositories for Reinforcement-Learning-for-Optimal-Feedback-Control-Simulation
Users that are interested in Reinforcement-Learning-for-Optimal-Feedback-Control-Simulation are comparing it to the libraries listed below
Sorting:
- ☆11Updated 7 years ago
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆59Updated last year
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆19Updated 2 years ago
- Joint work of Tsinghua University and the University of Adelaide☆12Updated last year
- 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
- This is the Github repository for a fault tolerant optimal ZNN controller with state constraints and precribed performance constraints de…☆17Updated 8 months 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
- ☆47Updated last year
- ☆21Updated 3 years ago
- This is a official code implementation for Nonlinear RISE based Integral Reinforcement Learning algorithms for perturbed Bilateral Teleop…☆20Updated 3 months ago
- ☆14Updated last year
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆21Updated last year
- The reproduction of tube-based MPC for nonlinear systems☆47Updated last year
- Advantage Actor-Critic (A2C) reinforcement learning agent used to control the motor speeds on a quadcopter in order to keep the quadcopte…☆25Updated 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
- 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
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago
- ☆16Updated last year
- Research on autonomous gait learning of a snake robot, involving Gaussian process regression(GPR) and model predictive control(MPC).☆2Updated 2 years ago
- Code to reproduce results in peer-reviewed publications☆21Updated 5 months ago
- We propose a novel data-driven optimal adaptive fault-tolerant control method for path tracking control.☆21Updated 11 months ago
- Code needed to reproduce the examples found in the various works published on Distributed and Localized Model Predictive Control via Syst…☆51Updated 2 years ago
- Simulink implementation of iterative learning control (ILC)☆20Updated 3 years ago
- Reinforcement Learning _ Adaptive dynamic programming☆13Updated last month
- A MATLAB Class for convenient ADP simulation☆24Updated 8 years ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆29Updated last year
- Matlab class/functions to simulate a system implementing a control Lyapunov-control barrier function quadratic program controller.☆44Updated last year
- Data Driven Model Predictive Control using Gaussian Processes☆24Updated 10 months ago
- Adaptive dynamic programming(ADP) 自适应动态规划☆46Updated 4 years ago