Counter-Example Guided Predicate Abstraction of Hybrid Systems

Loading...
Thumbnail Image
Penn collection
Departmental Papers (CIS)
Degree type
Discipline
Subject
CPS Model-Based Design
CPS Formal Methods
Funder
Grant number
License
Copyright date
Distributor
Related resources
Author
Dang, Thao
Invancic, Franjo
Contributor
Abstract

Predicate abstraction has emerged to be a powerful technique for extracting finite-state models from infinite-state systems, and has been recently shown to enhance the effectiveness of the reachability computation techniques for hybrid systems. Given a hybrid system with linear dynamics and a set of linear predicates, the verifier performs an on-the-fly search of the finite discrete quotient whose states correspond to the truth assignments to the input predicates. The success of this approach depends on the choice of the predicates used for abstraction. In this paper, we focus on identifying these predicates automatically by analyzing spurious counter-examples generated by the search in the abstract state-space. We present the basic techniques for discovering new predicates that will rule out closely related spurious counter-examples, optimizations of these techniques, implementation of these in the verification tool, and case studies demonstrating the promise of the approach.

Advisor
Date of presentation
2003-04-07
Conference name
Departmental Papers (CIS)
Conference dates
2023-05-16T22:30:57.000
Conference location
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
From the 9th International Conference, TACAS 2003 Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2003 Warsaw, Poland, April 7–11, 2003.
Postprint version. Published in Lecture Notes in Computer Science, Volume 2619, Tools and Algorithms for the Construction and Analysis of Systems, 2003, pages 208-223. Publisher URL: http://springerlink.metapress.com/link.asp?id=50gw0j6dydh09773
Recommended citation
Collection