Modelling dynamic response of physical systems in Simulink

K. T. Smith, D. Rubin, M. Turner
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引用次数: 1

Abstract

The value of implementing mathematical models in Simulink is demonstrated through an overview of the challenges involved when determining the dynamic response of non-linear systems. This overview is demonstrated by using an example of the baroreceptor nerve (and its response to blood pressure changes) as a non-linear system which can be modelled and simulated in Simulink. The simulated results indicate that a comparison can be made to actual short-term experimental data and simulated data to validate the model. Thereafter, the simulated model can be tested using artificial long-term inputs which infer a non-linear system's dynamic response. This method would be valuable for any research or design where a non-linear physical system's dynamic response would be otherwise experimentally expensive or impossible.
物理系统在Simulink中的动态响应建模
通过对确定非线性系统动态响应时所涉及的挑战的概述,展示了在Simulink中实现数学模型的价值。通过使用一个可以在Simulink中建模和模拟的非线性系统来演示压力感受器神经(及其对血压变化的反应)的概述。仿真结果表明,可以与实际短期实验数据和仿真数据进行比较,验证模型的有效性。然后,可以使用人工长期输入来测试模拟模型,从而推断出非线性系统的动态响应。这种方法对于非线性物理系统的动态响应在实验上昂贵或不可能的任何研究或设计都是有价值的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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