单变量TPTL的线性时间监测

Bassem Ghorbel, Vinayak S. Prabhu
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引用次数: 2

摘要

时间逻辑定时命题时间逻辑()扩展了冻结量词,以表达时间约束,并且在未来模式上严格地比度量时间逻辑()更具表现力。监测问题是检查特定的时间轨迹是否满足给定的时间逻辑规范,监测过程构成了网络物理系统测试和证伪方法的核心子程序。在这项工作中,我们开发了一种有效的线性时间监测算法,对于点向语义中的一个变量,该算法在轨迹长度上是线性的(对于在任何单位间隔内最多具有恒定数量的样本点的轨迹)。已知这个变量片段已经比它更具表现力,因此允许更丰富的时间属性的规范。我们的算法仔细地将分治法与动态规划相结合,以实现线性时间算法。值得注意的是,我们的算法只使用简单的二维表和公式的语法树作为数据结构,因此可以很容易地在各种平台上实现。我们用Matlab上的原型工具实现证明了我们的方法的可追溯性;我们的实验表明,该工具很容易缩放到很长的轨迹长度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linear Time Monitoring for One Variable TPTL
The temporal logic Timed Propositional Temporal Logic () extends with freeze quantifiers in order to express timing constraints, and is strictly more expressive than Metric Temporal Logic () over future modalities. The monitoring problem is to check whether a particular timed trace satisfies a given temporal logic specification, and monitoring procedures form core subroutines of testing and falsification approaches for Cyber-Physical Systems. In this work, we develop an efficient linear time monitoring algorithm, linear in the length of the trace (for traces that have at most a constant number of sample points in any unit interval), for one variable in the pointwise semantics. This one variable fragment is known to be already more expressive than and thus allows specifications of richer timed properties. Our algorithm carefully combines a divide and conquer approach with dynamic programming in order to achieve a linear time algorithm. As a plus, our algorithm uses only a simple two-dimensional table, and a syntax tree of the formula, as the data structures, and hence can be easily implemented on various platforms. We demonstrate the tractability of our approach with our prototype tool implementation on Matlab; our experiments show the tool scales easily to long trace lengths.
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