基于smt的切换多域线性Kirchhoff网络分析

A. Cimatti, Sergio Mover, Mirko Sessa
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引用次数: 3

摘要

许多关键系统是基于来自不同物理领域(如机械,电气,液压)的组件组合,并被数学建模为切换多域线性基尔霍夫网络(Smdlkn)。在本文中,我们解决了Smdlkn形式化验证的主要障碍,即设计一个适合于以混合自动机形式进行验证的全局模型。这需要根据基尔霍夫定律,根据网络的(指数多)运行模式,将组件的局部动态组合为微分代数方程。我们提出了一种基于smt的自动化方法来分析来自多个物理域的网络,检测哪些模式诱导无效(即不一致)约束,并生成一个混合自动机模型,该模型以常微分方程的形式准确描述了有效模式下的系统演化,并捕获了可能的非确定性行为。实验评估表明,该方法可以对多个复杂的多域系统进行形式化分析,并根据不同的系统需求进行模型检查。
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SMT-based analysis of switching multi-domain linear Kirchhoff networks
Many critical systems are based on the combination of components from different physical domains (e.g. mechanical, electrical, hydraulic), and are mathematically modeled as Switched Multi-Domain Linear Kirchhoff Networks (Smdlkn). In this paper, we tackle a major obstacle to formal verification of Smdlkn, namely devising a global model amenable to verification in the form of a Hybrid Automaton. This requires the combination of the local dynamics of the components, expressed as Differential Algebraic Equations, according to Kirchhoff's laws, depending on the (exponentially many) operation modes of the network. We propose an automated SMT-based method to analyze networks from multiple physical domains, detecting which modes induce invalid (i.e. inconsistent) constraints, and to produce a Hybrid Automaton model that accurately describes, in terms of Ordinary Differential Equations, the system evolution in the valid modes, catching also the possible non-deterministic behaviors. The experimental evaluation demonstrates that the proposed approach allows several complex multi-domain systems to be formally analyzed and model checked against various system requirements.
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