Alternatives and similar repositories for Reinforcement_learning-PID-auto-tuning

Users that are interested in Reinforcement_learning-PID-auto-tuning are comparing it to the libraries listed below

• RamprasadRaj / Auto-tuning-PID-Q-Learning
  Repository for all the MATLAB and Simulink files for auto-tuning of PID using Q Learning for a quadrotor
  ☆13Updated 4 years ago
• MathewMithraNoel / Reinforcement-Learning-for-Nonlinear-Control
  Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach
  ☆53Updated 6 years ago
• madyasha / DeepRLPID
  Adaptive tuning of an aircraft pitch PID controller with Deep Reinforcement Learning Algorithm
  ☆51Updated 5 years ago
• ikelq / Enhanced-PID-Adaptive-Feedforward-Neural-Network-Control
  code of paper: Adaptive Feedforward Neural Network Control With an Optimized Hidden Node Distribution
  ☆34Updated 4 years ago
• sunnyswag / simulink_python
  使用simulink进行环境的模拟，使用python编写强化学习(rl)代码
  ☆23Updated 6 years ago
• iman-sharifi-ghb / Function-Approximation-and-Adaptive-PID-Gain-Tuning-using-Neural-Networks-and-Reinforcement-Learning
  System Identification and Self-Tuning PID Control using NN
  ☆85Updated 2 years ago
• taliegemen / Neural-Network-Adaptive-PID-Controller
  Official repository of Artificial Neural Network-Based Adaptive PID Controller Design for Vertical Takeoff and Landing Model, which is pr…
  ☆48Updated last year
• brianwade1 / actor_critic_quadcopter
  Advantage Actor-Critic (A2C) reinforcement learning agent used to control the motor speeds on a quadcopter in order to keep the quadcopte…
  ☆27Updated 3 years ago
• mithun-bharadwaj / Adaptive_Optimal_Control
  Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations
  ☆30Updated 6 years ago
• blakcapple / DRL-PID
  Automatically tuning PID parameters based on deep reinforcement learning algorithm
  ☆27Updated 2 years ago
• akmenon1996 / TemperatureControl-ReinforcementLearning
  Comparing the performance of a DDPG Reinforcement learning model to control temperature with that of a PID and a thermostat controller.
  ☆57Updated 2 years ago
• yu-jiang / radpbook
  Source code for examples in Book "Robust Adaptive Dynamic Programming"
  ☆145Updated 3 years ago
• JJXiangJiaoJun / Neural-network-PID
  simulink neural network PID
  ☆19Updated 5 years ago
• AmirhosseinAsadi1380 / RL-PID-controller
  Adaptive PID control of a flexible manipulator using DDPG algorithm.
  ☆27Updated 4 months ago
• Rajesh-Siraskar / Reinforcement-Learning-for-Control-of-Valves
  This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink
  ☆104Updated 4 years ago
• bo-pang / OLSbPI
  Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …
  ☆28Updated 4 years ago
• ParkerEwen5441 / Nonlinear-System-Identification-for-Dubins-Car-Model
  A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al t…
  ☆12Updated 5 years ago
• anilparsi / RobustAdaptiveMPC
  ☆15Updated 5 years ago
• AlfianFadliPramadhan / Fuzzy-PID-DC-Motor-Matlab-Simulink
  Design of Fuzzy Logic + PID Controller for DC Motor using Matlab and Simulink
  ☆54Updated 7 years ago
• duozhanggithub / Process-Control
  Process Control code, include optimization, Model Predictive Control (MPC), Moving Horizon, Kalman filter etc
  ☆24Updated 7 years ago
• mr-d-self-driving / Control-and-AI-Algorithms
  Implementations of Control (PID, LQ, MPC, ...) and AI (fuzzy logic, Q-learner, SARSA, ...) algorithms
  ☆83Updated 7 years ago
• AnkushChak89 / ApproximateNonlinearMPC
  Implementation of model predictive control for nonlinear systems via machine learning and function approximators
  ☆57Updated 7 years ago
• chengqian0210 / RBF-Neural-Network-Adaptive-Control
  RBF Neural Network Adaptive Control
  ☆38Updated 5 years ago
• lmcggg / LSTM-based-Model-Predictive-Control
  LSTM-MPC: Deep Learning Based Predictive Control for Multimode Process Control
  ☆75Updated 7 months ago
• 202201216 / PID-Tuning-with-RL
  This project uses reinforcement learning (RL) to tune PID controllers for a nonlinear mass-spring-damper system. It applies the TD3 algor…
  ☆16Updated last year
• yu-jiang / Paper_Automatica2012_CTLTI
  A MATLAB Class for convenient ADP simulation
  ☆26Updated 8 years ago
• Nehachy / Adaptive-Dynamic-Programming
  ☆11Updated 8 years ago
• jnhopark / LSTM-MPC
  ☆22Updated 3 years ago
• cuntou0906 / Adaptive-dynamic-programming
  Adaptive dynamic programming（ADP） 自适应动态规划
  ☆47Updated 5 years ago
• savinay95n / Reinforcement-learning-Algorithms-and-Dynamic-Programming
  Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied t…
  ☆121Updated 3 years ago