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
☆65Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Function-Approximation-and-Adaptive-PID-Gain-Tuning-using-Neural-Networks-and-Reinforcement-Learning
- code of paper: Adaptive Feedforward Neural Network Control With an Optimized Hidden Node Distribution☆24Updated 3 years ago
- Simple examples for Event-triggered control for network controlled system☆66Updated 2 years ago
- This paper presents a data-driven control design framework to achieve robust tracking control without exploiting mathematical model of no…☆22Updated 2 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆24Updated 5 years ago
- model free adaptive iterative learning control☆10Updated 3 years ago
- paper code of "Adaptive feedforward RBF neural network control with the deterministic persistence of excitation"☆9Updated 3 years ago
- RBF神经网络自适应控制的相关代码，具体可参考 Liu J K. Radial Basis Function Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulat…☆38Updated 3 years ago
- PID, LQR, Feedback Linearization, Backstepping, Sliding Mode, and Model Reference Adaptive Control for 6-DoF Robot Control☆74Updated 2 months ago
- Neural network-based (NN) Model Predictive Control (MPC) algorithm to control a multi-agent system (MAS) with stochastic communication to…☆74Updated 2 years ago
- Linear Model Predictive Control (MPC) with quadratic programming (QP) and state space model☆27Updated 5 years ago
- Code for active fault-tolerant control design from TIE19 paper☆32Updated 4 years ago
- This repository contains classwork and practice examples based on Model Predictive Control. Robust and Stochastic control methods applied…☆53Updated 2 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆19Updated 2 years ago
- a new observer-based adaptive fuzzy integral sliding mode controller (AFISMC) is proposed based on the Lyapunov stability theorem. The pl…☆57Updated 4 years ago
- Comparing the performance of a DDPG Reinforcement learning model to control temperature with that of a PID and a thermostat controller.☆38Updated 11 months ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆17Updated last year
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆40Updated 5 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆15Updated 2 years ago
- ☆9Updated 6 years ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆78Updated 3 years ago
- A. Selivanov and E. Fridman, “Event-Triggered H-infinity Control: a Switching Approach,” IEEE Transactions on Automatic Control, vol. 61,…☆30Updated 7 years ago
- Official repository of Artificial Neural Network-Based Adaptive PID Controller Design for Vertical Takeoff and Landing Model, which is pr…☆35Updated 8 months ago
- Comparing the performance of Reinforcement learning models to control temperature with that of a PID and a thermostat controller.☆11Updated 4 years ago
- a disturbance rejection-based solution to the problem of robust output regulation of linear systems. The difference between the underlyin…☆30Updated 4 years ago
- Data-driven attitude control design for multirotor UAVs☆16Updated 7 years ago
- Code needed to reproduce the examples found in the various works published on Distributed and Localized Model Predictive Control via Syst…☆46Updated last year
- Data-Driven Predictive Control☆56Updated 8 months ago
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur …☆11Updated last year
- An Off-policy Reinforcement Learning Algorithm for Optimal Tracking Control Problem☆15Updated 9 months ago
- ☆15Updated 3 years ago