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 ...
Abstract: In this paper, we propose an LMI-based approach to analyze input-output properties of coupled linear PDE systems. This work expands on a newly developed state-space theory for coupled PDEs ...
ABSTRACT: This paper is concerned with a modified transitional Korteweg-de Vries equation u t +f( t ) u 2 u x + u xxx =0 , ( x,t )∈ R + × R + with initial value u( x,0 )=g( x )∈ H 4 ( R + ) and ...
Neural networks have been widely used to solve partial differential equations (PDEs) in different fields, such as biology, physics, and materials science. Although current research focuses on PDEs ...
The remarkable potentials of Artificial Intelligence (AI) and Deep Learning have paved the way for a variety of fields ranging from computer vision and language modeling to healthcare, biology, and ...
Nathan Brownlowe does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...
a:compilerSlint compiler internal (not the codegen, not the parser)Slint compiler internal (not the codegen, not the parser) When using the @linear-gradient macro in the 2nd position of the ternary ...
ABSTRACT: An elastic beam system formulated by partial differential equations with initial and boundary conditions is investigated in this paper. An evolution equation corresponding with the beam ...
Abstract: Pseudo-differential operators (/spl psi/DO) form an extension of combined partial differential equations (PDE) and boundary-value (trace) operators. Applicability of /spl psi/DOs lies in the ...
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