Learn how to use MATLAB to design and test robust process control strategies for dynamic systems. Discover how to model, simulate, analyze, optimize, and validate your control systems.

As part of the ongoing research in safe unicycle robot navigation, this repository houses the MATLAB code that facilitates numerical simulations outlined in the paper "Feedback Motion Prediction for ...

Girivaasan / Robust-Control-of-the-RRBot-Robotic-Arm Star 0 Code Issues Pull requests Implementing robust control to an RRbot manipulator robust-control Updated on Dec 23, 2022 MATLAB ...

Many important control system design problems are regarded as parametric and non-convex optimization problems. We have been developing a MATLAB toolbox for robust control via a parameter space ...

This paper presents a novel robust control design for a class of home pension service mobile robots (HPSMRs) with non-holonomic passive constraints, based on the Udwadia-Kalaba theory and Udwadia ...

Quantitative feedback theory (QFT) is an engineering design method with strong practical value in the field of robust control and it is aimed at the objects with parameters changes. This paper ...

The position and trajectory tracking control of rigid-link robot manipulators suffers from problems such as poor accuracy, unstable performance, and response ...

Delve into the critical role of robust components enabling the next generation of robotics and assistive technologies across industries, such as manufacturing, healthcare and AgTech.