HuXingYu1016 / Semi-Active-Suspension-Control-with-DQNLinks
☆12Updated 2 years ago
Alternatives and similar repositories for Semi-Active-Suspension-Control-with-DQN
Users that are interested in Semi-Active-Suspension-Control-with-DQN are comparing it to the libraries listed below
Sorting:
- Physics-Guided Reinforcement Learning System for Realistic Vehicle Active Suspension Control (IEEE ICMLA 2023)☆24Updated 11 months ago
- MATLAB implementation of DQN for a navigation environment☆14Updated 4 years ago
- Reinforcement based gain calculation for a tracking LQR using actor-critic method☆21Updated 4 years ago
- ☆18Updated 7 years ago
- Comparing the performance of a DDPG Reinforcement learning model to control temperature with that of a PID and a thermostat controller.☆50Updated last year
- This repository contains the code for the project of the Vehicle Systems Dynamics exam. It includes the nonlinear modelling and control o…☆14Updated 2 years ago
- Code for paper: Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving.☆24Updated 2 years ago
- python与simulink联合仿真教程☆17Updated 3 years ago
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆20Updated 2 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆51Updated 6 years ago
- JDS1912 / Energy-Management-System-of-Hybrid-Fuel-Cell-Electric-Vehicle-using-Reinforcement-Learning☆14Updated 3 years ago
- Implementation of model predictive control using neural network model.☆25Updated last year
- 使用simulink进行环境的模拟,使用python编写强化学习(rl)代码☆22Updated 6 years ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆96Updated 4 years ago
- A simple and short implementation of the Q-Learning Reinforcement Algorithm in Matlab☆47Updated 10 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆24Updated 3 years ago
- Deep learning based state estimation: incorporating Transformer and LSTM to Kalman Filter with EM algorithm.☆11Updated 2 years 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
- SNU-EPEL / Integration-of-Reinforcement-Learning-and-Model-Predictive-Control-to-Optimize-Semi-batch-Bioreactor☆16Updated 3 years ago
- 多目标灰狼优化算法☆17Updated last year
- This research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control i…☆22Updated 3 weeks ago
- Rule based strategy for energy management of Hybrid Electric Vehicle in Simulink☆34Updated 5 years ago
- Pytorch Implementation of Deep Kalman Filter☆9Updated 2 years ago
- Codes for "Quantitative Comparison of Reinforcement Learning and Data-driven Model Predictive Control for Chemical and Biological Process…☆11Updated last year
- Reinforcement Learning (RL) Course in MATLAB with exercises and solutions☆15Updated 4 years ago
- 关于书《强化学习第二版》(作者Richard S. Sutton)每章节的代码实现(matlab版)☆15Updated 5 years ago
- A Learning-based Energy Management Framework and Benchmark for Electric Vehicles☆34Updated last year
- A controller based on fuzzy logic for Hybrid Electric Vehicles☆9Updated 4 years ago
- Open code of my published paper: Health-considered energy management strategy for fuel cell hybrid electric vehicle based on improved sof…☆31Updated 9 months ago
- MOMPA: a high performance multi-objective optimizer based on marine predator algorithm☆20Updated last year