Fully automated verification of linear time-invariant systems against signal temporal logic specifications via reachability analysis

IF 3.7 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Nonlinear Analysis-Hybrid Systems Pub Date : 2024-04-09 DOI:10.1016/j.nahs.2024.101491
Niklas Kochdumper, Stanley Bak
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Abstract

While reachability analysis is one of the most promising approaches for formal verification of dynamic systems, a major disadvantage preventing a more widespread application is the requirement to manually tune algorithm parameters such as the time step size. Manual tuning is especially problematic if one aims to verify that the system satisfies complicated specifications described by signal temporal logic formulas since the effect the tightness of the reachable set has on the satisfaction of the specification is often non-trivial to see for humans. We address this problem with a fully-automated verifier for linear systems, which automatically refines all parameters for reachability analysis until it can either prove or disprove that the system satisfies a signal temporal logic formula for all initial states and all uncertain inputs. Our verifier combines reachset temporal logic with dependency preservation to obtain a model checking approach whose over-approximation error converges to zero for adequately tuned parameters. While we in this work focus on linear systems for simplicity, the general concept we present can equivalently be applied for nonlinear and hybrid systems.

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通过可达性分析,根据信号时序逻辑规范全自动验证线性时变系统
虽然可达性分析是对动态系统进行形式验证的最有前途的方法之一,但它的一个主要缺点是需要手动调整算法参数(如时间步长),因此无法得到更广泛的应用。如果要验证系统是否满足由信号时间逻辑公式描述的复杂规范,手动调整尤其成问题,因为对于人类来说,可到达集的严密性对满足规范的影响往往是难以察觉的。我们通过线性系统的全自动验证器来解决这一问题,该验证器可自动完善可达性分析的所有参数,直到能够证明或反证系统满足所有初始状态和所有不确定输入的信号时态逻辑公式。我们的验证器将可达集时态逻辑与依赖性保持相结合,从而获得了一种模型检查方法,其过度逼近误差在充分调整参数后趋近于零。虽然我们在这项工作中为简单起见将重点放在线性系统上,但我们提出的一般概念可等效地应用于非线性和混合系统。
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来源期刊
Nonlinear Analysis-Hybrid Systems
Nonlinear Analysis-Hybrid Systems AUTOMATION & CONTROL SYSTEMS-MATHEMATICS, APPLIED
CiteScore
8.30
自引率
9.50%
发文量
65
审稿时长
>12 weeks
期刊介绍: Nonlinear Analysis: Hybrid Systems welcomes all important research and expository papers in any discipline. Papers that are principally concerned with the theory of hybrid systems should contain significant results indicating relevant applications. Papers that emphasize applications should consist of important real world models and illuminating techniques. Papers that interrelate various aspects of hybrid systems will be most welcome.
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