JaeyoungLee-UoA / PIs-for-RL-Problems-in-CTSLinks
This repository contains the open source code used to generate the simulation results shown in the manuscript "Jaeyoung Lee and Richard S. Sutton (2021) Policy Iterations for Reinforcement Learning Problems in Continuous Time and Space -- Fundamental Theory and Methods, Automatica, vol. 126, 109421."
☆12Updated 4 years ago
Alternatives and similar repositories for PIs-for-RL-Problems-in-CTS
Users that are interested in PIs-for-RL-Problems-in-CTS are comparing it to the libraries listed below
Sorting:
- H_inf tracking control for linear discrete-time systems using ADP☆10Updated 5 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
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆16Updated 7 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆19Updated 3 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
- A data-driven method for linear quadratic control with state and control constraints☆12Updated 2 years ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆24Updated 2 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆20Updated 2 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 6 years ago
- ☆11Updated 7 years ago
- ☆23Updated last year
- A simple robust MPC for linear systems with model mismatch: Balancing conservatism vs computational complexity☆31Updated 3 years ago
- course project: a simple implementation of Q learning and MPC☆18Updated 4 years ago
- EXPSIN / Quadratic-Programming-for-Continuous-Control-of-Safety-Critical-Multi-Agent-Systems-Under-UncertaintQuadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty☆13Updated 11 months ago
- This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation☆11Updated last year
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆54Updated 7 years ago
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆18Updated 2 years ago
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆21Updated 2 years ago
- Code to reproduce results in peer-reviewed publications☆22Updated 6 months ago
- Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CA…☆19Updated last year
- 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
- ☆21Updated 3 years ago
- This repository contains simulation codes generated for the paper titled "Comparative Analysis of Data-Driven Predictive Control Strategi…☆11Updated 4 months ago
- Data-driven attitude control design for multirotor UAVs☆17Updated 8 years ago
- Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"☆14Updated last year
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆43Updated last year
- Code needed to reproduce examples in "Robust Closed-loop Model Predictive Control via System Level Synthesis," by S. Chen, H. Wang, M. Mo…☆29Updated 5 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
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆27Updated 3 years ago
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆16Updated 2 years ago