MShabani8 / RL_tracking_PI_algorithm_single_agentLinks
the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neural networks to approximate the control policy and iteratively updates the networks to improve the system's performance.
☆21Updated 2 years ago
Alternatives and similar repositories for RL_tracking_PI_algorithm_single_agent
Users that are interested in RL_tracking_PI_algorithm_single_agent are comparing it to the libraries listed below
Sorting:
- Code for paper: Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving.☆27Updated 2 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆22Updated 3 years ago
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆17Updated 7 years ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆99Updated 4 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 6 years ago
- Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.☆70Updated 7 years ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆17Updated 2 years ago
- Neural network-based (NN) Model Predictive Control (MPC) algorithm to control a multi-agent system (MAS) with stochastic communication to…☆91Updated 3 years ago
- Codes reproducing paper Jongeun Choi, Songhwai Oh, Roberto Horowitz, Distributed learning and cooperative control for multi-agent systems…☆22Updated 4 years ago
- Zhao-Jichao / Distributed_optimal_-formation_control_of_heterogeneous_multi-agent_systems_with_mixed-orders异构混合阶多智能体系统编队控制的分布式优化☆32Updated 4 years ago
- This repository represents an implementation of suggested distributed control algorithm for formation control of multi-agent system with …☆24Updated 2 years ago
- Comparing the performance of a DDPG Reinforcement learning model to control temperature with that of a PID and a thermostat controller.☆53Updated last year
- Adaptive dynamic programming☆130Updated 2 months ago
- ☆21Updated 3 years ago
- This is a official code implementation for Nonlinear RISE based Integral Reinforcement Learning algorithms for perturbed Bilateral Teleop…☆22Updated 6 months ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆24Updated 2 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆27Updated 3 years ago
- Reinforcement based gain calculation for a tracking LQR using actor-critic method☆21Updated 4 years ago
- ☆17Updated last year
- We present a new comparative study of the paper from Hansson and Boyd Robust Optimal Control of Linear Discrete-Time Systems using Primal…☆13Updated 5 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☆80Updated 2 years ago
- This repository showcases a hybrid control system combining Reinforcement Learning (Q-Learning) and Neural-Fuzzy Systems to dynamically t…☆53Updated 10 months ago
- RL implementation in course 'Control for Robotics' at U of T, includes Generalized Policy Iteration, Monte Carlo and Q-Learning in MATLAB☆14Updated 3 years ago
- ☆30Updated 3 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆19Updated 3 years ago
- 事件触发一致性及其对应的文献☆83Updated 3 years ago
- We propose a novel data-driven optimal adaptive fault-tolerant control method for path tracking control.☆24Updated last year
- Reinforcement Learning (RL) Course in MATLAB with exercises and solutions☆16Updated 4 years ago
- consensus and synchronization algorithms of networked multi agent systems with event triggered communications☆38Updated 2 years ago
- A data-driven method for linear quadratic control with state and control constraints☆13Updated 3 years ago