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)."}
☆23Updated 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
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 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
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆19Updated 2 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 5 years ago
- Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"☆14Updated last year
- Data-driven attitude control design for multirotor UAVs☆17Updated 8 years ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆24Updated last year
- ☆19Updated last year
- ☆10Updated 7 years ago
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆16Updated 7 years ago
- My Master Thesis in the area of Data-Driven Control Engineering☆12Updated 3 years ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆15Updated 2 years ago
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆21Updated last year
- This repository contains simulation codes generated for the paper titled "Comparative Analysis of Data-Driven Predictive Control Strategi…☆10Updated last month
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆20Updated last year
- 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 paper presents a data-driven control design framework to achieve robust tracking control without exploiting mathematical model of no…☆31Updated 3 years ago
- ☆21Updated 3 years ago
- course project: a simple implementation of Q learning and MPC☆17Updated 4 years ago
- We propose a novel data-driven optimal adaptive fault-tolerant control method for path tracking control.☆18Updated 10 months ago
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆19Updated 2 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
- Robust model predictive control of discrete-time time-delay systems using System Level Synthesis (linear time-varying state feedback cont…☆13Updated 2 years ago
- Linear Model Predictive Control (MPC) with quadratic programming (QP) and state space model☆26Updated 6 years ago
- University group project concerning the implementation of an iterative learning controller tested on a Cart-Pole system. The code has bee…☆20Updated 4 years ago
- paper code of "Adaptive feedforward RBF neural network control with the deterministic persistence of excitation"☆12Updated 3 years ago
- a disturbance rejection-based solution to the problem of robust output regulation of linear systems. The difference between the underlyin…☆36Updated 5 years ago
- Matlab Source for fundamental adaptive critic designs☆9Updated 12 years ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆13Updated 2 years ago