Discrete-event simulation of continuous-time systems: evolution and state of the art of quantized state system methods

Rodrigo Castro, Mariana Bergonzi, Ezequiel Pecker Marcosig, Joaquín Fernández, Ernesto Kofman
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Abstract

In this work, we attempt to bring together the origins, main results, and recent advances on discrete-event simulation of continuous-time systems. Starting from the early approaches that aimed to represent continuous-time dynamics within the discrete-event system specification (DEVS) formalism framework, the work shows how these ideas gave place to the formalization of the quantized state system (QSS) family of numerical integration algorithms. Then, we describe the QSS algorithms, their properties, their extensions, and the main practical software tools implementing them. We also present a selection of simulation examples illustrating the main features and advantages through comparisons with state-of-the-art continuous-time simulation solvers.
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连续时间系统的离散事件模拟:量化状态系统方法的演变和最新进展
在这部著作中,我们试图汇集连续时间系统离散事件仿真的起源、主要成果和最新进展。从旨在离散事件系统规范(DEVS)形式框架内表示连续时间动力学的早期方法开始,本著作展示了这些想法是如何被量化状态系统(QSS)数值积分算法系列形式化的。然后,我们将介绍 QSS 算法、其特性、扩展以及实现这些算法的主要实用软件工具。我们还通过与最先进的连续时间仿真求解器的比较,介绍了一些仿真实例,以说明其主要特点和优势。
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