The tutorial instructions are available in the wiki page of this repository: https://github.com/SMARTlab-Purdue/robust-control-tutorial/wiki The tutorial slides are ...

Obtaining a stable output voltage or current in the presence of disturbances like input voltage changes and/or output load changes seems impossible without some form of control. This book shows how ...

Robust control theory is a branch of control engineering that deals with designing controllers that can cope with uncertainties and disturbances in the system dynamics, parameters, or inputs.

This repository is by Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, and J. Zico Kolter, and contains the PyTorch source code to reproduce the experiments in our paper "Enforcing robust control ...

Abstract: While control barrier functions provide a powerful tool to endow controllers with formal safety guarantees, robust control barrier functions (RCBF) can be used to extend these guarantees for ...

The modelling and neuro-adaptive robust control algorithms for these rockets are presented. Initially, the methodology is evaluated for a robust controller based on a reference model with ANN-RBF for ...

These systems often exhibit behaviors that are not predictable through traditional linear control methods, making robust stability a critical area of research. Robust stability refers to the ...

But how does it compare with other advanced control techniques, such as adaptive control, robust control, or optimal control? Here are some of the main features, advantages, and challenges of MPC ...

A reward shaping deep deterministic policy gradient (RS-DDPG) and simultaneous localization and mapping (SLAM) path tracking algorithm is proposed to address the issues of low accuracy and poor ...

which is sensitive to noises and control errors. In contrast, adiabatic evolution can always keep the quantum system in its eigenstate. It is robust to noises but requires a certain length of time.