MShabani8 / RL_tracking_PI_algorithm_single_agentLinks
the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neural networks to approximate the control policy and iteratively updates the networks to improve the system's performance.
☆21Updated 2 years ago
Alternatives and similar repositories for RL_tracking_PI_algorithm_single_agent
Users that are interested in RL_tracking_PI_algorithm_single_agent are comparing it to the libraries listed below
Sorting:
- Code for paper: Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving.☆30Updated 2 years ago
- Comparing the performance of a DDPG Reinforcement learning model to control temperature with that of a PID and a thermostat controller.☆54Updated last year
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆17Updated 2 years ago
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆17Updated 7 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆22Updated 3 years ago
- Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.☆70Updated 7 years ago
- Codes reproducing paper Jongeun Choi, Songhwai Oh, Roberto Horowitz, Distributed learning and cooperative control for multi-agent systems…☆22Updated 4 years ago
- Reinforcement based gain calculation for a tracking LQR using actor-critic method☆21Updated 4 years ago
- iman-sharifi-ghb / Function-Approximation-and-Adaptive-PID-Gain-Tuning-using-Neural-Networks-and-Reinforcement-LearningSystem Identification and Self-Tuning PID Control using NN☆82Updated 2 years ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆99Updated 4 years ago
- ☆22Updated 3 years ago
- Adaptive dynamic programming☆132Updated 2 months ago
- Neural network-based (NN) Model Predictive Control (MPC) algorithm to control a multi-agent system (MAS) with stochastic communication to…☆92Updated 3 years ago
- Reinforcement Learning (RL) Course in MATLAB with exercises and solutions☆16Updated 4 years ago
- This repository showcases a hybrid control system combining Reinforcement Learning (Q-Learning) and Neural-Fuzzy Systems to dynamically t…☆57Updated 11 months ago
- RL implementation in course 'Control for Robotics' at U of T, includes Generalized Policy Iteration, Monte Carlo and Q-Learning in MATLAB☆14Updated 3 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 6 years ago
- consensus and synchronization algorithms of networked multi agent systems with event triggered communications☆39Updated 2 years ago
- This is a official code implementation for Nonlinear RISE based Integral Reinforcement Learning algorithms for perturbed Bilateral Teleop…☆23Updated 7 months ago
- This project uses reinforcement learning (RL) to tune PID controllers for a nonlinear mass-spring-damper system. It applies the TD3 algor…☆16Updated 10 months ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆24Updated 2 years ago
- This example uses Soft Actor Critic(SAC) based reinforcement learning to develop the mobile robot navigation. For a brief summary of the …☆17Updated 4 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆53Updated 6 years ago
- This repository represents an implementation of suggested distributed control algorithm for formation control of multi-agent system with …☆26Updated 2 years ago
- ☆17Updated last year
- 本项目由西北工业大学和陕西科技大学进行协调完成,主要研究了合同网模型的改进,并将其应用到飞行器任务的实时在线分配。飞行器中段飞行时间长,弹道固定,容易成为防御系统拦截重点。利用深度强化学习算法结合动态窗口局部路径规划法完成飞行器突防航迹推演等关键技术研究。☆14Updated 3 years ago
- ☆30Updated 3 years ago
- We propose a novel data-driven optimal adaptive fault-tolerant control method for path tracking control.☆25Updated last year
- This research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control i…☆26Updated 3 months ago
- We present a new comparative study of the paper from Hansson and Boyd Robust Optimal Control of Linear Discrete-Time Systems using Primal…☆13Updated 5 years ago