A state reduction approach to interpretation of system behavior based on system simulation
A state reduction approach to interpretation of system behavior based on system simulation
复制标题
基于系统仿真的系统行为解释的状态还原方法
DOI：
10.1080/21681015.2015.1061059
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发表时间：
2015
影响因子：
4.5
通讯作者：
A. Tezuka
中科院分区：
文献类型：
--
作者：
H. Komoto;S. Kondoh;K. Masui;A. Tezuka
系统建模和仿真技术已被引入到产品开发中基于模型的设计的早期阶段。根据系统组件和连接对系统的描述，这些技术通过建立和求解由系统组件的拓扑导出的方程系统来计算其数值行为。目前，这些技术在支持设计者根据语义而不是数值来解释系统的整体行为方面存在局限性。为了克服这一局限性，本文简要介绍了一个半自动的过程，以支持设计人员用系统仿真结果来验证产品模型。该过程通过以离散时间间隔根据系统组件的参数对系统组件的行为进行聚类来减少系统的动态状态。它还通过在整个模拟持续时间内计算集群模式及其转换和跨区间的身份关系来生成整体系统行为。
System modeling and simulation techniques have been introduced to the early stage of model-based design in product development. Given a description of a system in terms of system components and connections, these techniques compute its numerical behavior by building and solving an equation system derived from the topology of system components. Currently, these techniques have a limitation in supporting designers to interpret the overall behavior of a system in terms of semantics rather than numerical values. To overcome the limitation, the paper briefly introduces a semi-automated procedure to support designers to validate a product model with system simulation results. The procedure reduces the dynamic state of a system by clustering the behavior of system components in terms of their parameters at discrete time intervals. It also generates the overall system behavior by computing clustering patterns and its transitions and identity relations across intervals in the entire simulation duration.