IEEE

Robust LPV System Identification With Skewed and Asymmetric Measurement Noise

Abstract: In this study, the skewed and asymmetric measurement noise is considered and solved in the identification of linear parameter varying (LPV) systems and a new robust global identification ...
IEEE

QSID-MPC: Model Predictive Control With System Identification From Quantized Data

Abstract: Cloud-assisted system identification and control have emerged as practical solutions for low-power, resource-constrained control systems such as micro-UAVs. In a typical cloud-assisted ...
GitHub

System identification, PID tuning (ZN/IMC/DS), and cascade control for a differential-drive robot in MATLAB.

Each wheel actuator is modeled as a first-order system. A PWM step input of 1 is applied and the angular velocity response is recorded. Simulated and measured wheel ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...