AlinaBaber / ReinforcementLearning-QLearning-based-self-tuned-PID-controller-for-AUV-MatLabLinks
This repository showcases a hybrid control system combining Reinforcement Learning (Q-Learning) and Neural-Fuzzy Systems to dynamically tune a PID controller for an Autonomous Underwater Vehicle (AUV). The implementation aims to enhance precision, adaptability, and robustness in underwater environments.
☆51Updated 9 months ago
Alternatives and similar repositories for ReinforcementLearning-QLearning-based-self-tuned-PID-controller-for-AUV-MatLab
Users that are interested in ReinforcementLearning-QLearning-based-self-tuned-PID-controller-for-AUV-MatLab are comparing it to the libraries listed below
Sorting:
- AlinaBaber / NeuralNetwork-Fuzzy-logic-based-self-tuned-PID-controller-for-Autonomous-underwater-vehicle-MatLabThis project implements an advanced control system using a Neural Network-Fuzzy Logic-based Self-tuned PID Controller to optimize the per…☆53Updated 10 months ago
- A path following simulation for autonomous surface vehicle on Matlab/Simulink☆30Updated 2 years ago
- ICMRE-2021 coference paper codes☆69Updated 2 years ago
- PID, LQR, Feedback Linearization, Backstepping, Sliding Mode, and Model Reference Adaptive Control for 6-DoF Robot Control☆111Updated 11 months ago
- Adaptive Finite Time Smooth Nonlinear Sliding Mode Tracking Control for Surface Vessels with Uncertainties and Disturbances☆24Updated 3 years ago
- Simple examples for Event-triggered control for network controlled system☆85Updated 3 years ago
- EXPSIN / Quadratic-Programming-for-Continuous-Control-of-Safety-Critical-Multi-Agent-Systems-Under-UncertaintQuadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty☆14Updated last year
- USV formation control☆38Updated 10 months ago
- Addressing the combined problem of trajectory planning and tracking control for under-actuated autonomous underwater vehicle (AUV).☆36Updated 4 years ago
- Optimization of PID control of ship course using PSO algorithm☆10Updated 4 years ago
- ☆17Updated last year
- ☆32Updated 4 years ago
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆22Updated 2 years ago
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆68Updated last year
- 此程序对应文章☆16Updated 3 years ago
- Learning Model Predictive Control for Quadrotors Minimum-Time Flight in Autonomous Racing Scenarios☆27Updated last year
- Reinforcement Learning _ Adaptive dynamic programming☆21Updated 3 months ago
- Re-Implementation of paper "Active attitude fault-tolerant tracking control of flexible spacecraft via the Chebyshev neural Network"☆16Updated 3 years ago
- Adaptive dynamic programming☆128Updated last month
- Code for the book☆76Updated 2 years ago
- Code for active fault-tolerant control design from TIE19 paper☆38Updated 5 years ago
- craigmax-dev / Integrated-Model-Predictive-Fuzzy-Control-for-Disaster-Victim-Detection-Path-Planning-in-MATLABThis project consists of a simulation of a search-and-rescue environment for discrete path-planning of agents using a Fuzzy Inference Sys…☆14Updated 2 weeks ago
- Lyapunov based controller design for trajectory tracking of an under-actuated autonomous underwater vehicle(AUV)☆46Updated 4 years ago
- consensus and synchronization algorithms of networked multi agent systems with event triggered communications☆37Updated 2 years ago
- a new observer-based adaptive fuzzy integral sliding mode controller (AFISMC) is proposed based on the Lyapunov stability theorem. The pl…☆71Updated 5 years ago
- Implementation of Attitude Optimal Backstepping Controller for UAV☆31Updated 9 months ago
- This project uses reinforcement learning (RL) to tune PID controllers for a nonlinear mass-spring-damper system. It applies the TD3 algor…☆13Updated 9 months ago
- A robust control scheme using sliding-mode control has been developed and implemented to enable a quadrotor to track desired trajectories…☆16Updated 2 years ago
- We propose a novel data-driven optimal adaptive fault-tolerant control method for path tracking control.☆24Updated last year
- Advantage Actor-Critic (A2C) reinforcement learning agent used to control the motor speeds on a quadcopter in order to keep the quadcopte…☆25Updated 3 years ago