Rajesh-Siraskar / Reinforcement-Learning-for-Control-of-Valves
This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink
☆87Updated 3 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.☆42Updated last year
- Adaptive dynamic programming☆101Updated last week
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆16Updated last year
- ☆45Updated 3 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆26Updated 5 years ago
- paper code of "Adaptive feedforward RBF neural network control with the deterministic persistence of excitation"☆9Updated 3 years ago
- Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.☆64Updated 6 years ago
- Adaptive dynamic programming（ADP） 自适应动态规划☆41Updated 4 years ago
- Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied t…☆110Updated 2 years ago
- code of paper: Adaptive Feedforward Neural Network Control With an Optimized Hidden Node Distribution☆28Updated 3 years ago
- Neural network-based (NN) Model Predictive Control (MPC) algorithm to control a multi-agent system (MAS) with stochastic communication to…☆83Updated 2 years ago
- Project achieved in MATLAB/Simulink 2022b, including optimal control algo, prediction algo, DQN training Env. etc.☆52Updated last year
- A modular MATLAB toolkit for Dynamic programming (DP) and Approximate Dynamic Programming (ADP) for Adaptive Modeling and Optimization☆47Updated 5 years ago
- We propose a novel data-driven optimal adaptive fault-tolerant control method for path tracking control.☆11Updated 7 months ago
- Simple examples for Event-triggered control for network controlled system☆74Updated 2 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆17Updated 2 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
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆12Updated 2 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☆73Updated last year
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆20Updated last year
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆41Updated 5 years ago
- An adaptive hierarchical energy management strategy for hybrid electric vehicles☆43Updated 3 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
- ☆69Updated 2 years ago
- Implementation of Reinforcement learning using Q learning algorithm- Robot in Maze - Matlab☆29Updated 5 years ago
- A MATLAB Class for convenient ADP simulation☆22Updated 7 years ago
- A simple and short implementation of the Q-Learning Reinforcement Algorithm in Matlab☆44Updated 9 years ago
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆14Updated 6 years ago