首页> 外文会议>Proceedings of the 23rd International Conference of the System Dynamics Society >Identifying Dominant Behavior Patterns, Links and LoopsAutomated Eigenvalue Analysis of System Dynamics Models
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Identifying Dominant Behavior Patterns, Links and LoopsAutomated Eigenvalue Analysis of System Dynamics Models

机译:识别主要的行为模式,链接和循环系统动力学模型的自动特征值分析

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The method presented in this paper allows for an investigation of how model behavior iscreated from the underlying model structure and how this behavior feeds back to changethe relative significance of the model behavior. The method also allows us to identify thedynamics of the relative significance of the various parameters that governs the gains ofthe links and loops of the model. The method has been implemented mathematically usingMatlab based software developed for the purpose of facilitating an Eigenvalue analysis ofmodels representing complex, dynamic systems. This work is based on control theory aswell as the previous work on eigenvalue analysis in the system dynamics*. It summarizesthe work by Ahmed AbdelTawab AbdelGawad (2004) and Bahaa E. Aly Abdel Aleem(2004) on automating the process of analyzing the structural origin of various modes ofbehavior exhibited by a system dynamics model.The method outline and code developed in preparation for this paper is publiclyavailable, allows us to analyze the relationship between model structure and behaviorand may be implemented as par of any simulation package.
机译:本文介绍的方法可用于研究模型行为如何 由基础模型结构创建的以及此行为如何反馈以更改 模型行为的相对重要性。该方法还使我们能够确定 控制增益的各种参数的相对重要性的动态变化 模型的链接和循环。该方法已经使用数学方法实现 开发基于Matlab的软件以促进对特征值的分析 代表复杂,动态系统的模型。这项工作是基于控制理论 以及以前在系统动力学中进行特征值分析的工作*。总结 Ahmed AbdelTawab AbdelGawad(2004)和Bahaa E. Aly Abdel Aleem的作品 (2004年)关于分析各种模式的结构起源的过程的自动化 系统动力学模型显示的行为。 为本文准备的方法概述和代码已公开发布 可用,使我们能够分析模型结构与行为之间的关系 并可以实现为任何仿真程序包的标准。

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