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Abstraction Based Model-Checking of Stability of Hybrid Systems

机译:基于抽象的混合系统稳定性模型检验

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In this paper, we present a novel abstraction technique and a model-checking algorithm for verifying Lyapunov and asymptotic stability of a class of hybrid systems called piecewise constant derivatives. We propose a new abstract data structure, namely, finite weighted graphs, and a modification of the predicate abstraction based on the faces in the system description. The weights on the edges trace the distance of the executions from the origin, and are computed by using linear programming. Model-checking consists of analyzing the finite weighted graph for the absence of certain kinds of cycles which can be solved by dynamic programming. We show that the abstraction is sound in that a positive result on the analysis of the graph implies that the original system is stable. Finally, we present our experiments with a prototype implementation of the abstraction and verification procedures which demonstrate the feasibility of the approach.
机译:在本文中,我们提出了一种新颖的抽象技术和模型检查算法,用于验证一类称为分段常数导数的混合系统的Lyapunov和渐近稳定性。我们提出了一种新的抽象数据结构,即有限加权图,并基于系统描述中的面孔对谓词抽象进行了修改。边缘上的权重跟踪执行点到原点的距离,并通过使用线性编程来计算。模型检查包括分析有限加权图是否存在某些可以通过动态编程解决的周期。我们表明抽象是合理的,因为对图的分析得出的肯定结果表明原始系统是稳定的。最后,我们用抽象和验证程序的原型实现来展示我们的实验,从而证明了该方法的可行性。

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