Abstraction and Counterexample-Guided Refinement in Model Checking of Hybrid Systems

Author:

Clarke Edmund1,Fehnker Ansgar2,Han Zhi2,Krogh Bruce2,Ouaknine Joël1,Stursberg Olaf23,Theobald Michael1

Affiliation:

1. Computer Science Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA

2. Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA

3. Process Control Lab (CT-AST), University of Dortmund, 44221 Dortmund, Germany

Abstract

Hybrid dynamic systems include both continuous and discrete state variables. Properties of hybrid systems, which have an infinite state space, can often be verified using ordinary model checking together with a finite-state abstraction. Model checking can be inconclusive, however, in which case the abstraction must be refined. This paper presents a new procedure to perform this refinement operation for abstractions of hybrid systems. Following an approach originally developed for finite-state systems [11, 25], the refinement procedure constructs a new abstraction that eliminates a counterexample generated by the model checker. For hybrid systems, analysis of the counterexample requires the computation of sets of reachable states in the continuous state space. We show how such reachability computations with varying degrees of complexity can be used to refine hybrid system abstractions efficiently. Examples illustrate our counterexample-guided refinement procedure. Experimental results for a prototype implementation indicate significant advantages over existing methods.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science (miscellaneous)

Cited by 93 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Porous invariants for linear systems;Formal Methods in System Design;2024-02-28

2. The minimum principle of hybrid optimal control theory;Mathematics of Control, Signals, and Systems;2023-11-10

3. Towards Using Structural Abstraction for Model Checking;2023 10th International Conference on Dependable Systems and Their Applications (DSA);2023-08-10

4. Detecting Faulty Sequences of FDIR Functions on Spacecrafts Using Model Checking;2023 IEEE Aerospace Conference;2023-03-04

5. Advanced algorithms for abstract dialectical frameworks based on complexity analysis of subclasses and SAT solving;Artificial Intelligence;2022-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3