DocumentCode :
3531871
Title :
A trajectory splicing approach to concretizing counterexamples for hybrid systems
Author :
Zutshi, Aditya ; Sankaranarayanan, Sriram ; Deshmukh, Jyotirmoy V. ; Kapinski, James
Author_Institution :
Dept. of Electr., Univ. of Colorado, Boulder, CO, USA
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
3918
Lastpage :
3925
Abstract :
This paper examines techniques for finding falsifying trajectories of hybrid systems using an approach that we call trajectory splicing. Many formal verification techniques for hybrid systems, including flowpipe construction, can identify plausible abstract counterexamples for property violations. However, there is often a gap between the reported abstract counterexamples and the concrete system trajectories. Our approach starts with a candidate sequence of disconnected trajectory segments, each segment lying inside a discrete mode. However, such disconnected segments do not form concrete violations due to the gaps that exist between the ending state of one segment and the starting state of the subsequent segment. Therefore, trajectory splicing uses local optimization to minimize the gap between these segments, effectively splicing them together to form a concrete trajectory. We demonstrate the use of our approach for falsifying safety properties of hybrid systems using standard optimization techniques. As such, our approach is not restricted to linear systems. We compare our approach with other falsification approaches including uniform random sampling and a robustness guided falsification approach used in the tool S-Taliro. Our preliminary evaluation clearly shows the potential of our approach to search for candidate trajectory segments and use them to find concrete property violations.
Keywords :
formal verification; optimisation; sampling methods; S-Taliro tool; falsification approach; flowpipe construction; formal verification techniques; hybrid systems; linear systems; local optimization; plausible abstract counterexamples indentification; property violations; robustness guided falsification approach; trajectory splicing approach; uniform random sampling; Automata; Concrete; Optimization; Robustness; Safety; Splicing; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
ISSN :
0743-1546
Print_ISBN :
978-1-4673-5714-2
Type :
conf
DOI :
10.1109/CDC.2013.6760488
Filename :
6760488
Link To Document :
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