bo-pang / OLSbPILinks
Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems." arXiv preprint arXiv:2107.07788 (2021)."}
☆27Updated 3 years ago
Alternatives and similar repositories for OLSbPI
Users that are interested in OLSbPI are comparing it to the libraries listed below
Sorting:
- A data-driven method for linear quadratic control with state and control constraints☆13Updated 3 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆19Updated 3 years ago
- Data-driven attitude control design for multirotor UAVs☆18Updated 8 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 6 years ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆24Updated 2 years ago
- Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"☆14Updated last year
- ☆24Updated last year
- A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al t…☆12Updated 5 years ago
- This repository contains simulation codes generated for the paper titled "Comparative Analysis of Data-Driven Predictive Control Strategi…☆13Updated last month
- MODEL PREDICTIVE CONTROL (MPC) CONTROL BASED ON THE QUASI-MIN-MAX ALGORITHM WITH RELAXATION IN LMIS☆40Updated 9 months ago
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆18Updated 2 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆22Updated 3 years ago
- Data-Driven Predictive Control☆77Updated last year
- This repository contains classwork and practice examples based on Model Predictive Control. Robust and Stochastic control methods applied…☆59Updated 3 years ago
- Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CA…☆21Updated last year
- This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation☆12Updated last year
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆17Updated 7 years ago
- This paper presents a data-driven control design framework to achieve robust tracking control without exploiting mathematical model of no…☆32Updated 3 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆54Updated 7 years ago
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆22Updated 2 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 contains the code for the method presented in the paper "Safe Data-Driven Model Predictive Control of Systems with Comple…☆12Updated 2 years ago
- Code needed to reproduce the examples found in the various works published on Distributed and Localized Model Predictive Control via Syst…☆51Updated 2 years ago
- course project: a simple implementation of Q learning and MPC☆18Updated 4 years ago
- A. Selivanov and E. Fridman, “Event-Triggered H-infinity Control: a Switching Approach,” IEEE Transactions on Automatic Control, vol. 61,…☆41Updated 8 years ago
- Code associated with the ADCHEM 2021 Workshop on Machine Learning and Model Predictive Control☆15Updated 4 years ago
- code of paper: Adaptive Feedforward Neural Network Control With an Optimized Hidden Node Distribution☆34Updated 4 years ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆99Updated 4 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆53Updated 6 years ago
- Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters☆18Updated 3 years ago