Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

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 ...

Model Predictive Control (MPC), or receding horizon control, aims to maximize an objective function over a planning horizon by leveraging a dynamics model and a planner to select actions. The ...

Predictive models empower proactive decision-making, forecasting equipment failures, optimizing maintenance schedules, and preventing costly downtimes. Moreover, AI enhances quality control ... and ...

The simplicity of operating with a DC power pack like this MRC Tech7 is just one of several reasons to use DC block control on your model railroad. Though Digital Command Control may be the wave of ...

McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 East Dean Keeton Street, Austin, Texas 78712-1589, United States Oden Institute for Computational Engineering and ...

To enable control practices, a control-oriented model is developed linking load increments to frequency dynamics. Based on such a control-oriented model, a model predictive control ... the ...

I want to draw some control system block diagrams, for example: using a lightweight markup language, and mermaid seems like the best candidate to try first. Please help me know if this is possible in ...