Abstract: A distributed event-triggered model predictive control strategy is proposed for large-scale spacecraft swarm. In pursuit of achieving precise formation control amidst the presence of ...

Abstract: A dual-mode model predictive control (MPC) strategy is tailored for a networked control system (NCS) operating in a constrained environment that is vulnerable to additive disturbances as ...

The strength model of willpower enjoys both supporters and critics, earning both influence and critique since its development in the mid-'90s. It is often cited in discussions around psychology’s ...

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 ...

The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...

do-mpc is a comprehensive open-source toolbox for robust model predictive control (MPC) and moving horizon estimation (MHE). do-mpc enables the efficient formulation and solution of control and ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

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 ...

LB Beistad is a writer and musician based in Nashville, TN. Her love of gaming began with her cousin introducing her to Banjo Kazooie and Jak and Daxter when she was five years old. It was love at ...