Hierarchical Multi-Formalism Proofs of Cyber-Physical Systems
2015
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Hierarchical Multi-Formalism Proofs of Cyber-Physical Systems
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2015
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University of Minnesota
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Report
Abstract
To manage design complexity and provide verification
tractability, models of complex cyber-physical systems
are typically hierarchically organized into multiple abstraction
layers. High-level analysis explores interactions of the system with
its physical environment, while embedded software is developed
separately based on derived requirements. This separation of lowlevel
and high-level analysis also gives hope to scalability, because
we are able to use tools that are appropriate for each level.
When attempting to perform compositional reasoning in such an
environment, care must be taken to ensure that results from one
tool can be used in another to avoid errors due to “mismatches�
in the semantics of the underlying formalisms. This paper
proposes a formal approach for linking high-level continuous
time models and lower-level discrete time models. Specifically,
we lift a discrete-time controller specified using synchronous
observer properties into continuous time for proof using timed
automata (UPPAAL). To define semantic compatibility between
the models, we propose a direct semantics for a network of
timed automata with a discrete-time component called Contract-
Extended Network of Timed Automata (CENTA) and examine
semantic issues involving timing and events with the combination.
We then propose a translation of the discrete-time controller into
a timed automata state machine and show the equivalence of the
translation with the CENTA formulation. We demonstrate the
usefulness of the approach by proving that a complex medical
infusion pump controller is safe with respect to a continuous time
clinical scenario.
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Associated research group: Critical Systems Research Group
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University of Minnesota
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Whalen, Michael; Rayadurgam, Sanjai; Ghassabani, Elaheh; Murugesan, Anitha; Sokolsky, Oleg; Heimdahl, Mats; Lee, Insup. (2015). Hierarchical Multi-Formalism Proofs of Cyber-Physical Systems. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/217436.
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