Tested on: MacBook Air M2 running macOS Sequoia 15.7.3 with MATLAB R2025a. This repository contains precompiled mexmaca64 binaries allowing legacy MPT3 (Multi-Parametric Toolbox 3) code to run ...

Context-dependent behavior, i.e., the appropriate action selection according to current circumstances, long-term goals, and recent experiences, hallmarks human cognitive flexibility. But which neural ...

In the domain of industrial automation, Programmable Logic Controllers (PLCs) constitute the foundation for executing deterministic control over multifaceted processes, spanning manufacturing, energy ...

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 ...

MATLAB is one of the most widely utilized computational software platforms. The initial version was developed in the late 1970s by Cleve Moler, the chairman of the computer science department at the ...

Abstract: This work proposes a model predictive control approach aimed at optimizing the efficiency of a hybrid shipboard power system while ensuring secure operations. A mixed integer linear ...

1 Department of Energy, New York Tech, Long Island, NY, USA. 2 Department of Petroleum Engineering, Texas A&M University, College Station, TX, USA. 3 School of Business, Tulane University, New Orleans ...

This useful study examines the neural activity in the motor cortex as a monkey reaches to intercept moving targets, focusing on how tuned single neurons contribute to an interesting overall population ...

This paper presents a novel visual-admittance-based model predictive control scheme to cope with the problem of vision/force control and several constraints of a nuclear collaborative robotic visual ...

Processing of negative affective pictures typically leads to desynchronization of alpha-to-beta frequencies (ERD) and synchronization of gamma frequencies (ERS). Given that in predictive coding higher ...

Humans and animals learn the internal model of bodies and environments from their experience and stabilize posture against disturbances based on the predicted future states according to the internal ...