SNU-EPEL / Integration-of-Reinforcement-Learning-and-Model-Predictive-Control-to-Optimize-Semi-batch-Bioreactor
☆15Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Integration-of-Reinforcement-Learning-and-Model-Predictive-Control-to-Optimize-Semi-batch-Bioreactor
- 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 11 months ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆78Updated 3 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
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆24Updated 5 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆40Updated 5 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
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆13Updated 6 years ago
- An Off-policy Reinforcement Learning Algorithm for Optimal Tracking Control Problem☆15Updated 9 months ago
- A data-driven method for linear quadratic control with state and control constraints☆8Updated 2 years ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆11Updated last year
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆11Updated last year
- Open code of my published paper: Health-considered energy management strategy for fuel cell hybrid electric vehicle based on improved sof…☆22Updated last month
- A modular MATLAB toolkit for Dynamic programming (DP) and Approximate Dynamic Programming (ADP) for Adaptive Modeling and Optimization☆46Updated 5 years ago
- Adaptive dynamic programming☆77Updated 2 weeks ago
- ☆17Updated 2 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)☆14Updated 5 years ago
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆39Updated 2 years ago
- Code and example associated with the paper 'Model Predictive Control of Nonlinear Latent Force Models: A Scenario-based Approach' by T. W…☆9Updated 2 years ago
- Gym Interface Wrapper for Simulink Models☆14Updated last year
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆15Updated 2 years ago
- Adaptive dynamic programming(ADP) 自适应动态规划☆37Updated 4 years ago
- ☆10Updated 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
- ☆11Updated 8 months ago
- A repository of load frequency control models implemeted in matlab☆11Updated 4 years ago
- Neural network-based (NN) Model Predictive Control (MPC) algorithm to control a multi-agent system (MAS) with stochastic communication to…☆73Updated 2 years ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆9Updated last year
- ☆9Updated 6 years ago
- JDS1912 / Energy-Management-System-of-Hybrid-Fuel-Cell-Electric-Vehicle-using-Reinforcement-Learning☆10Updated 2 years ago