Rajesh-Siraskar / Reinforcement-Learning-for-Control-of-Valves
This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink
☆91Updated 4 years ago
Alternatives and similar repositories for Reinforcement-Learning-for-Control-of-Valves:
Users that are interested in Reinforcement-Learning-for-Control-of-Valves are comparing it to the libraries listed below
- Comparing the performance of a DDPG Reinforcement learning model to control temperature with that of a PID and a thermostat controller.☆45Updated last year
- Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.☆67Updated 6 years ago
- Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied t…☆111Updated 2 years ago
- Adaptive dynamic programming☆107Updated 2 months ago
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆17Updated last year
- This research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control i…☆16Updated 5 months ago
- ☆45Updated 3 years ago
- A simple and short implementation of the Q-Learning Reinforcement Algorithm in Matlab☆47Updated 9 years ago
- Adaptive dynamic programming(ADP) 自适应动态规划☆42Updated 4 years ago
- Neural network-based (NN) Model Predictive Control (MPC) algorithm to control a multi-agent system (MAS) with stochastic communication to…☆88Updated 2 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆28Updated 5 years ago
- 关于书《强化学习第二版》(作者Richard S. Sutton)每章节的代码实现(matlab版)☆15Updated 5 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☆76Updated last year
- Implementation of Reinforcement learning using Q learning algorithm- Robot in Maze - Matlab☆28Updated 5 years ago
- Simple examples for Event-triggered control for network controlled system☆77Updated 2 years ago
- A modular MATLAB toolkit for Dynamic programming (DP) and Approximate Dynamic Programming (ADP) for Adaptive Modeling and Optimization☆47Updated 5 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆43Updated 6 years ago
- paper code of "Adaptive feedforward RBF neural network control with the deterministic persistence of excitation"☆10Updated 3 years ago
- We propose a novel data-driven optimal adaptive fault-tolerant control method for path tracking control.☆16Updated 8 months ago
- ADP☆9Updated 8 years ago
- Reinforcement Learning (RL) Course in MATLAB with exercises and solutions☆12Updated 3 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆18Updated 2 years ago
- Develop agent-based traffic management system by model-free reinforcement learning☆49Updated 4 years ago
- Comparing the performance of Reinforcement learning models to control temperature with that of a PID and a thermostat controller.☆12Updated 4 years ago
- Model-free event-triggered optimal control with performance guarantees via goal representation heuristic dynamic programming☆13Updated 3 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆19Updated 3 years ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆23Updated last year
- Adaptive tuning of an aircraft pitch PID controller with Deep Reinforcement Learning Algorithm☆39Updated 4 years ago
- ☆31Updated 6 years ago
- This project uses reinforcement learning (RL) to tune PID controllers for a nonlinear mass-spring-damper system. It applies the TD3 algor…☆11Updated 4 months ago