SNU-EPEL / Integration-of-Reinforcement-Learning-and-Model-Predictive-Control-to-Optimize-Semi-batch-Bioreactor
☆15Updated 3 years ago
Alternatives and similar repositories for Integration-of-Reinforcement-Learning-and-Model-Predictive-Control-to-Optimize-Semi-batch-Bioreactor:
Users that are interested in Integration-of-Reinforcement-Learning-and-Model-Predictive-Control-to-Optimize-Semi-batch-Bioreactor are comparing it to the libraries listed below
- Codes for "Quantitative Comparison of Reinforcement Learning and Data-driven Model Predictive Control for Chemical and Biological Process…☆11Updated last year
- NiravRaiyani / Implementation-and-comparison-of-Advanced-process-control-strategies-to-stirred-tank-mixing-processImplementation of Linear Quadratic Regulator (LQR), Minimum Principle and Model Predictive Control(MPC) to stirred tank mixing process☆17Updated last year
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆27Updated 5 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
- This research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control i…☆14Updated 4 months ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆90Updated 3 years ago
- Comparing the performance of a DDPG Reinforcement learning model to control temperature with that of a PID and a thermostat controller.☆42Updated last year
- A data-driven method for linear quadratic control with state and control constraints☆10Updated 2 years ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆12Updated 2 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆42Updated 6 years ago
- Comparing the performance of Reinforcement learning models to control temperature with that of a PID and a thermostat controller.☆12Updated 4 years ago
- paper code of "Adaptive feedforward RBF neural network control with the deterministic persistence of excitation"☆9Updated 3 years ago
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆14Updated 6 years ago
- tianxiaoy9 / Data-driven-deep-reinforcement-learning-controller-for-DC-DC-buck-converter-feeding-CPLsSource code for deep reinforcement learning in MATLAB☆21Updated last year
- This is the MATLAB code for article "Static Output Feedback Data-Driven Control for Unknown Discrete-Time Linear Switched Systems"☆9Updated 3 years ago
- course project: a simple implementation of Q learning and MPC☆17Updated 3 years ago
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆40Updated 2 years ago
- Model-free event-triggered optimal control with performance guarantees via goal representation heuristic dynamic programming☆11Updated 2 years ago
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆17Updated last year
- A modular MATLAB toolkit for Dynamic programming (DP) and Approximate Dynamic Programming (ADP) for Adaptive Modeling and Optimization☆47Updated 5 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
- ☆16Updated last year
- Process Control code, include optimization, Model Predictive Control (MPC), Moving Horizon, Kalman filter etc☆23Updated 6 years ago
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆20Updated 2 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆17Updated 2 years ago
- 使用simulink进行环境的模拟,使用python编写强化学习(rl)代码☆20Updated 5 years ago
- Robust MPC for Linear Systems with Parametric and Additive Uncertainty☆24Updated 3 years ago
- This repository contains models, parameter data, control algorithms and results data for Doctoral Dissertation titled "Contributions to P …☆25Updated 4 years ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆21Updated last year