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A Symbolic Model Checking Framework for Safety Analysis, Diagnosis, and Synthesis

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Model Checking and Artificial Intelligence (MoChArt 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4428))

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Abstract

Modern reactive control system are typically very complex entities, and their design poses substantial challenges. In addition to ensuring functional correctness, other steps may be required: with safety analysis, the behavior is analyzed, and proved compliant to some requirements considering possible faulty behaviors; diagnosis and diagnosability are forms of reasoning on the run-time explanation of faulty behaviors; planning and synthesis allow the automated construction of controllers that implement desired behaviors. Symbolic Model Checking (SMC) is a formal technique for ensuring functional correctness that has achieved a substantial industrial penetration in the last decade. In this paper, we show how SMC can be used as a convenient framework to express safety analysis, diagnosis and diagnosability, and synthesis. We also discuss how model checking tools can be used and extended to solve the resulting computational challenges.

This work has been partly supported by the E.U.-sponsored project ISAAC, contract no. AST3-CT-2003-501848.

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Authors and Affiliations

  1. ITC-irst - Via Sommarive 18 - 38050 Povo - Trento, Italy

    Piergiorgio Bertoli, Marco Bozzano & Alessandro Cimatti

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  1. Piergiorgio Bertoli
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  2. Marco Bozzano
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  3. Alessandro Cimatti
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Stefan Edelkamp Alessio Lomuscio

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Bertoli, P., Bozzano, M., Cimatti, A. (2007). A Symbolic Model Checking Framework for Safety Analysis, Diagnosis, and Synthesis. In: Edelkamp, S., Lomuscio, A. (eds) Model Checking and Artificial Intelligence. MoChArt 2006. Lecture Notes in Computer Science(), vol 4428. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74128-2_1

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  • DOI: https://doi.org/10.1007/978-3-540-74128-2_1

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