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)."}
☆24Updated 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☆12Updated 2 years ago
- Data-driven attitude control design for multirotor UAVs☆17Updated 8 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 5 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆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
- A Novel Off-policy Reinforcement Learning Algorithm for Optimal Tracking Control Problem☆4Updated last month
- Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"☆14Updated last year
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆24Updated 2 years ago
- MODEL PREDICTIVE CONTROL (MPC) CONTROL BASED ON THE QUASI-MIN-MAX ALGORITHM WITH RELAXATION IN LMIS☆40Updated 7 months ago
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆16Updated 7 years ago
- ☆23Updated last year
- iman-sharifi-ghb / Function-Approximation-and-Adaptive-PID-Gain-Tuning-using-Neural-Networks-and-Reinforcement-LearningSystem Identification and Self-Tuning PID Control using NN☆78Updated 2 years ago
- This repository contains simulation codes generated for the paper titled "Comparative Analysis of Data-Driven Predictive Control Strategi…☆11Updated 3 months ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆17Updated 2 years ago
- A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al t…☆12Updated 4 years ago
- This paper presents a data-driven control design framework to achieve robust tracking control without exploiting mathematical model of no…☆31Updated 3 years ago
- Comparing the performance of Reinforcement learning models to control temperature with that of a PID and a thermostat controller.☆13Updated 5 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
- 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
- Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CA…☆17Updated last year
- This repository contains classwork and practice examples based on Model Predictive Control. Robust and Stochastic control methods applied…☆59Updated 3 years ago
- code of paper: Adaptive Feedforward Neural Network Control With an Optimized Hidden Node Distribution☆33Updated 3 years ago
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆21Updated 2 years ago
- Data-Driven Predictive Control☆76Updated last year
- course project: a simple implementation of Q learning and MPC☆18Updated 4 years ago
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆18Updated 2 years ago
- Simple examples for Event-triggered control for network controlled system☆84Updated 2 years ago
- ☆21Updated 3 years ago
- ☆11Updated 7 years ago