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Artículo

A Stand–Alone Quantized State System Solver for Continuous System Simulation

Kofman, Ernesto JavierIcon ; Fernandez, Joaquin
Fecha de publicación: 07/2014
Editorial: Sage Publications Ltd
Revista: Simulation
ISSN: 0037-5497
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Matemática Aplicada; Ciencias de la Computación

Resumen

This article introduces a stand-alone implementation of the quantized state system (QSS) integration methods for continuous and hybrid system simulation. QSS methods replace the time discretization of classic numerical integration by the quantization of the state variables. These algorithms lead to discrete event approximations of the original continuous systems and show some advantages over classic numerical integration schemes. For simplicity, most implementations of QSS methods were confined to discrete event simulation engines. The problem is that they were not fully efficient, as they wasted much of the computational load in the discrete event simulation mechanism. The stand-alone QSS solver presented here overcomes this problem, improving in more than one order of magnitude the computation times of the previous discrete event implementations. Besides describing the solver structure and functionality, the article analyzes four different models and compares the performance of the new solver with that of the discrete event implementation, and with that of different classic solvers.
Palabras clave: Ode Solvers , Discontinuity Handling , Quantized State Systems Methods
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/4810
DOI: http://dx.doi.org/10.1177/0037549714536255
Colecciones
Articulos(CIFASIS)
Articulos de CENTRO INT.FRANCO ARG.D/CS D/L/INF.Y SISTEM.
Citación
Kofman, Ernesto Javier; Fernandez, Joaquin; A Stand–Alone Quantized State System Solver for Continuous System Simulation; Sage Publications Ltd; Simulation; 90; 7; 7-2014; 782-799
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