References on Optimal Control, Reinforcement Learning and Motion Planning
-
Updated
Feb 26, 2022
References on Optimal Control, Reinforcement Learning and Motion Planning
Learning-Based Model Predictive Control (LBMPC)
Tracking controllers for UAVs in ROS, part of the "mrs_uav_core" package.
This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).
Robust control tutorial by Purdue SMART Lab: Sliding Mode Control (SMC) with MATLAB/Simulink example implementation
Robust and optimal design and analysis of linear control systems
This repository contains classwork and practice examples based on Model Predictive Control. Robust and Stochastic control methods applied to and studied for linear/non-linear plants.
This is a project where an Adaptive Flight Control based on L1 adaptive control is designed and tested using MATLAB/Simulink [ L1 adaptive control code ]
Simple-to-use-and-extend implementation of the DeepMimic Approach using the MuJoCo Physics Engine and Stable Baselines 3, mainly for locomotion tasks.
Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.
Robust control for dynamic nonlinear systems with parameter uncertainties
MIT Spring 2020 Mechanical Engineering 2.152 Nonlinear Control (Professor Jean-Jacques Slotine)
Library of LMI methods for Robust Control
A Julia package for the computation of hard, theoretically guaranteed bounds on the moments of jump-diffusion processes with polynomial data
MPC controllers for temperature regulation of a building. Graded project for the ETH course "Model Predictive Control".
identification and calibration of serial collaborative robotic manipulators.
model error compensator (matlab codes of journal article) robust control
A Generalized H-infinity Mixed Sensitivity Convex Approach to Multivariable Control Design Subject to Simultaneous Output and Input Loop-Breaking Specifications
Learning-based robust tube based MPC of nonlinear systems via difference of convex radial basis functions
Add a description, image, and links to the robust-control topic page so that developers can more easily learn about it.
To associate your repository with the robust-control topic, visit your repo's landing page and select "manage topics."