Functional programmatic modeling in modelyze

David Broman, Oscar Eriksson
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Abstract

Equation-based object-oriented modeling languages, such as Modelica, have gained significant popularity the past decades, and the fundamental technology is used in numerous software tools. In such languages, systems modeling are typically done visually, which is simple for small models, but can become difficult for more complex models. In this combined invited talk and live demo, we demonstrate our work-in-progress approach to what we call functional programmatic modeling, an alternative to traditional visual modeling. Specifically, we discuss the idea of programmatic modeling in the context of equation-based languages, and how it relates to existing approaches of modeling and simulation. During the live demo, we show how textual modeling using higher-order functions can be used to model simple mechatronic control systems. Moreover, we show how this modeling approach can be generalized to 3D multi-body modeling, simulation, and visualization.
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modelyze中的功能编程建模
基于方程的面向对象建模语言,如Modelica,在过去几十年中获得了极大的普及,其基本技术被用于许多软件工具中。在这样的语言中,系统建模通常是可视化的,这对于小模型来说很简单,但是对于更复杂的模型来说就很困难了。在这个邀请演讲和现场演示的结合中,我们展示了我们正在进行的方法,我们称之为功能编程建模,这是传统可视化建模的替代方案。具体来说,我们讨论了基于方程的语言背景下的编程建模思想,以及它如何与现有的建模和仿真方法相关联。在现场演示中,我们将展示如何使用高阶函数的文本建模来建模简单的机电控制系统。此外,我们展示了这种建模方法如何推广到3D多体建模、仿真和可视化。
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Session details: Algorithms for efficient problem solving Towards a benchmark suite for high-performance Modelica compilers Status and directions for cyber-physical system development with OpenModelica Session details: Invited talks and demonstration Functional programmatic modeling in modelyze
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