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Symbolic-numeric methods for improving structural analysis of differential-algebraic equation systems

机译:用于改进结构分析的符号数字方法   微分代数方程组

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摘要

Systems of differential-algebraic equations (DAEs) are generated routinely bysimulation and modeling environments such as Modelica and MapleSim. Before asimulation starts and a numerical solution method is applied, some kind ofstructural analysis is performed to determine the structure and the index of aDAE. Structural analysis methods serve as a necessary preprocessing stage, andamong them, Pantelides's algorithm is widely used. Recently Pryce's $\Sigma$-method is becoming increasingly popular, owing toits straightforward approach and capability of analyzing high-order systems.Both methods are equivalent in the sense that when one succeeds, producing anonsingular system Jacobian, the other also succeeds, and the two give the samestructural index. Although provably successful on fairly many problems of interest, thestructural analysis methods can fail on some simple, solvable DAEs and giveincorrect structural information including the index. In this report, we focuson the $\Sigma$-method. We investigate its failures, and develop twosymbolic-numeric conversion methods for converting a DAE, on which the$\Sigma$-method fails, to an equivalent problem on which this method succeeds.Aimed at making structural analysis methods more reliable, our conversionmethods exploit structural information of a DAE, and require a symbolic toolfor their implementation.
机译:通常通过模拟和建模环境(例如Modelica和MapleSim)生成微分代数方程组(DAE)的系统。在模拟开始并应用数值求解方法之前,先进行某种结构分析,以确定aDAE的结构和指标。结构分析方法是必要的预处理步骤,其中,Pantelides的算法得到了广泛的应用。最近,Pryce的$ \ Sigma $方法由于其直接的方法和分析高阶系统的能力而变得越来越流行。两种方法在某种意义上等效:当一个成功时,产生非奇异系统Jacobian,另一个也成功,并且两个给出相同的结构索引。尽管在许多有趣的问题上证明是成功的,但是结构分析方法可能在一些简单的,可解决的DAE上失败,并且给出的结构信息不正确,包括索引。在此报告中,我们重点介绍$ \ Sigma $方法。我们研究其失败之处,并开发了两种符号-数字转换方法,可将$ \ Sigma $方法失败的DAE转换为该方法成功的等效问题。为了使结构分析方法更可靠,我们采用了转换方法DAE的结构信息,并且需要使用符号工具来实施。

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