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Verification of continuous dynamical systems by timed automata

机译:通过定时自动机验证连续动力系统

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摘要

This paper presents a method for abstracting continuous dynamical systems by timed automata. The abstraction is based on partitioning the state space of a dynamical system using positive invariant sets, which form cells that represent locations of a timed automaton. The abstraction is intended to enable formal verification of temporal properties of dynamical systems without simulating any system trajectory, which is currently not possible. Therefore, conditions for obtaining sound, complete, and refinable abstractions are set up. The novelty of the method is the partitioning of the state space, which is generated utilizing sub-level sets of Lyapunov functions, as they are positive invariant sets. It is shown that this partition generates sound and complete abstractions. Furthermore, the complete abstractions can be composed of multiple timed automata, allowing parallelization of the verification process. The proposed abstraction is applied to two examples, which illustrate how sound and complete abstractions are generated and the type of specification we can check. Finally, an example shows how the compositionality of the abstraction can be used to analyze a high-dimensional system.
机译:本文提出了一种通过定时自动机抽象连续动力系统的方法。抽象是基于使用正不变集对动力系统的状态空间进行划分的,后者形成代表定时自动机位置的像元。该抽象旨在实现对动态系统的时间特性的形式验证,而无需模拟任何当前无法实现的系统轨迹。因此,建立了获得合理,完整和完善的抽象的条件。该方法的新颖之处在于状态空间的划分,这是利用Lyapunov函数的子级集生成的,因为它们是正不变集。结果表明,该分区可以生成声音和完整的抽象。此外,完整的抽象可以由多个定时自动机组成,从而可以使验证过程并行化。提议的抽象应用于两个示例,这些示例说明了如何生成声音和完整的抽象以及我们可以检查的规范类型。最后,一个示例显示了如何将抽象的组成性用于分析高维系统。

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