Abstract: System identification is essential for modeling and control of nonlinear dynamic systems. In practice, traditional linear or unidirectional recurrent models often fail to capture the ...
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 ...
Escola de Química, EPQB, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil Programa de Engenharia Química, PEQ/COPPE, Universidade Federal do Rio de Janeiro, Rio ...
Some cars invite you in with chrome and comfort. The Model T invites you into a time machine, hands you three pedals that mean the wrong things, and politely asks you to learn 1910s. Then it coughs, ...
Language modeling plays a foundational role in natural language processing, enabling machines to predict and generate text that resembles human language. These models have evolved significantly, ...
ABSTRACT: This research empirically investigated asymmetric effect for volatility of currency rate exchange on foreign direct investment, inflation and Balance of Trade in Nigeria. Quarterly data on ...
ABSTRACT: This research empirically investigated asymmetric effect for volatility of currency rate exchange on foreign direct investment, inflation and Balance of Trade in Nigeria. Quarterly data on ...
Chaotic systems, such as fluid dynamics or brain activity, are highly sensitive to initial conditions, making long-term predictions difficult. Even minor errors in modeling these systems can rapidly ...
In order to study the influence of confining pressure on the deformation of concrete, triaxial compression and creep tests under different confining pressures are carried out using a combination of ...
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