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A stand-alone quantized state system solver for continuous system simulation

机译:用于连续系统仿真的独立量化状态系统求解器

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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.
机译:本文介绍了用于连续和混合系统仿真的量化状态系统(QSS)集成方法的独立实现。 QSS方法通过状态变量的量化代替了经典数值积分的时间离散化。这些算法导致原始连续系统的离散事件近似,并显示出优于经典数值积分方案的一些优势。为简单起见,大多数QSS方法的实现都限于离散事件仿真引擎。问题在于它们并没有完全有效,因为它们浪费了离散事件模拟机制中的大量计算量。本文介绍的独立QSS求解器解决了此问题,将以前的离散事件实现的计算时间提高了一个数量级以上。除了描述求解器的结构和功能之外,本文还分析了四种不同的模型,并将新求解器的性能与离散事件实现的性能以及不同经典求解器的性能进行了比较。

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