A new optical device allows researchers to generate and switch between two stable, donut-shaped light patterns called ...
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 ...
Tristan Jurkovich began his career as a journalist in 2011. His childhood love of video games and writing fuel his passion for archiving this great medium’s history. He dabbles in every genre, but ...
Climate change reports, deleted. DEI initiatives, banned. Local TV and radio stations, defunded. Books, removed from military academies. Names of civil rights leaders, erased from ships. History ...
What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...
Abstract: In this work, we develop a scheme for constructing continuous approximations (referred to as abstractions) of a class of discrete-time control systems with partially unknown dynamics. The ...
Abstract: This paper addresses the issue of adaptive fixed-time tracking control (FTTC) for a category of parametric nonlinear systems characterized by unknown nonlinear control coefficient (UNCC) and ...
Introduction: This paper aims at the control problem of nonlinear systems with uncertainty in general, and avoids the deviation of sliding mode controller from the preset constraint region during the ...
1 Institute of Software Engineering and Theoretical Computer Science, Technische Universitaet Berlin, Berlin, Germany 2 Bernstein Center for Computational Neuroscience Berlin, Berlin, Germany We adapt ...
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