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 ...
Traditional LFC strategies based on fixed-gain PI or PID controllers are inadequate for modern power systems characterized by high renewable penetration and dynamic operating conditions. These ...
This study investigates a novel dual-loop control strategy that combines sliding mode and model predictive controllers to reduce torque ripple in high-performance Brushless Direct Current (BLDC) ...
Abstract: This paper proposes a model predictive control (MPC) strategy for a nested neutral point-clamped (NNPC) converter to control output currents and voltages of flying capacitors. The NNPC ...
Automotive companies face growing complexity across vehicle design, compliance, and customer expectations. Data analytics in the automotive industry provides direct visibility into vehicle performance ...
In the domain of industrial automation, Programmable Logic Controllers (PLCs) constitute the foundation for executing deterministic control over multifaceted processes, spanning manufacturing, energy ...
This repository contains the MATLAB code that accompanies the research paper: Leeman, Antoine P and Kohler, Johannes and Messerer, Florian and Lahr, Amon and Diehl, Moritz and Zeilinger, Melanie N ...
This article compares the conventional model predictive control (MPC) and active disturbance rejection control (ADRC) with a novel MPADRC technique for controlling a non-minimum phase behavior in the ...
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Many bacteria can interfere with how antibodies bind to their surfaces. This bacterial antibody targeting makes it challenging to predict the immunological function of bacteria-associated antibodies.
1 School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough, UK. 2 Design and Automation Research group, School of Mechanical and Building Sciences, Vellore ...