ooorin / Auto-Tuning-PID
a fuzzy expert system for auto-tuning PID algorithm
☆11Updated 6 years ago
Alternatives and similar repositories for Auto-Tuning-PID:
Users that are interested in Auto-Tuning-PID are comparing it to the libraries listed below
- Adaptive PID neural network controller implementation in Python☆12Updated 3 years ago
- gILC - An Open Source Tool for Model Based Iterative Learning Control☆15Updated 6 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆43Updated 6 years ago
- Auto tuning of PID parameters of a quad-rotor using Q-learning☆25Updated 5 years ago
- Optimization algorithm based on matrix calculus for reference trajectory tracking/model predictive control. I authored the code during my…☆14Updated 6 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆53Updated 6 years ago
- 使用simulink进行环境的模拟,使用python编写强化学习(rl)代码☆21Updated 5 years ago
- code of paper: Adaptive Feedforward Neural Network Control With an Optimized Hidden Node Distribution☆28Updated 3 years ago
- University group project concerning the implementation of an iterative learning controller tested on a Cart-Pole system. The code has bee…☆19Updated 4 years ago
- Designed and simulated the optimal controllers for SEPIC converter. Used Model Kalman filtering, also known as Linear Quadratic Estimatio…☆15Updated 8 years ago
- DC Motor Tuning Using Fuzzy Logic And PID Controller☆10Updated 4 years ago
- Reinforcement Learning-based Mobile Robot Navigation☆25Updated 7 years ago
- Process Control code, include optimization, Model Predictive Control (MPC), Moving Horizon, Kalman filter etc☆23Updated 6 years ago
- Matlab code to control underactuated systems based on a hybrid approach that combines neural networks, reinforcement learning, fuzzy logi…☆27Updated 11 years ago
- Markov-Dubins Problem: an Optimal Control Approach. Optimal solutions are found by means of Pontryagin Maximum principle; the rest of the…☆12Updated 3 years ago
- ☆15Updated 4 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
- RL implementation in course 'Control for Robotics' at U of T, includes Generalized Policy Iteration, Monte Carlo and Q-Learning in MATLAB☆13Updated 2 years ago
- Masters project, designing a multi-vehicle control system.☆52Updated 7 years ago
- This repository contains classwork and practice examples based on Model Predictive Control. Robust and Stochastic control methods applied…☆56Updated 2 years ago
- Dynamic Programming and Optimal Control (151-0563-01) Fall 2019 Programming Exercise☆17Updated 5 years ago
- RBF Neural Network Adaptive Control☆36Updated 4 years ago
- Iterative Learning Control algorithm code☆18Updated 5 years ago
- A modular MATLAB toolkit for Dynamic programming (DP) and Approximate Dynamic Programming (ADP) for Adaptive Modeling and Optimization☆47Updated 6 years ago
- This code is to implement the model-free control algorithm as introduced in the paper Model-free control by Michel Fliess and Cedric Join…☆10Updated 7 years ago
- Matlab software, papers, and presentations relating to concurrent learning and gaussian process MRAC☆20Updated 7 years ago
- We explore the application of deep reinforcement learning in the field of robotic control, the cooperative and competitive behavior of mu…☆35Updated 4 years ago
- Robust adaptive control of LPV systems☆13Updated last year
- ☆11Updated 4 years ago
- A code that helps to start designing adaptive PID controllers with an auto tuning unit based on neural networks☆9Updated 5 years ago