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Provably Correct Systems pp 39–58Cite as

MARS: A Toolchain for Modelling, Analysis and Verification of Hybrid Systems

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Part of the book series: NASA Monographs in Systems and Software Engineering ((NASA))

Abstract

We introduce a toolchain MARS for Modelling, Analyzing and veRifying hybrid Systems we developed in the past years. Using MARS, we build executable models of hybrid systems using the industrial standard environment Simulink/Stateflow, which facilitates analysis by simulation. To complement simulation, formal verification of Simulink/Stateflow models is conducted in the toolchain via the following steps: first, we translate Simulink/Stateflow diagrams to Hybrid CSP (HCSP) processes by an automatic translator Sim2HCSP, where HCSP is an extension of CSP for formally modelling hybrid systems; second, to justify the translation, another automatic translator HCSP2Sim that translates from HCSP to Simulink is provided, so that the consistency between the original Simulink/Stateflow model and the translated HCSP formal model can be checked by co-simulation; then, the HCSP processes obtained in the first step are verified by an interactive Hybrid Hoare Logic (HHL) prover; during the verification, an invariant generator independent of the theorem prover for synthesizing invariants for differential equations and loops is needed. We will demonstrate the toolchain by analysis and verification of a descent guidance control program of a lunar lander, which is a real-world industry example.

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Notes

  1. 1.

    The toolchain MARS and the verification of the lunar lander example can be found at http://lcs.ios.ac.cn/~znj/tools/MARS_v1.1.zip.

  2. 2.

    Specific impulse is a physical quantity describing the efficiency of rocket engines. It equals the thrust produced per unit mass of propellant burned per second.

  3. 3.

    Identical to the line in Fig. 4.

  4. 4.

    A sequence of infinitely many computations that take finite time.

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Acknowledgements

The work is supported partly by “973 Program” under grant No. 2014CB340701, by NSFC under grants 91418204 and 91118007, by CDZ project CAP (GZ 1023), and by the CAS/SAFEA International Partnership Program for Creative Research Teams.

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Authors and Affiliations

  1. State Key Lab. of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, People’s Republic of China

    Mingshuai Chen, Shuling Wang, Naijun Zhan & Liang Zou

  2. State Key Lab. of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, People’s Republic of China

    Xiao Han & Tao Tang

  3. Chinese Academy of Space Technology, Beijing, People’s Republic of China

    Mengfei Yang

  4. School of Computer and Information Science, Southwest University, Chongqing, People’s Republic of China

    Hengjun Zhao

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  1. Mingshuai Chen
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Correspondence to Mingshuai Chen .

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Editors and Affiliations

  1. University of Limerick, Lero-the Irish Software Research Centre University of Limerick, Limerick, Limerick, Ireland

    Mike Hinchey

  2. Museophile Ltd , Oxford, United Kingdom

    Jonathan P. Bowen

  3. Department für Informatik, Universität Oldenburg Department für Informatik, Oldenburg, Germany

    Ernst-Rüdiger Olderog

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Chen, M. et al. (2017). MARS: A Toolchain for Modelling, Analysis and Verification of Hybrid Systems. In: Hinchey, M., Bowen, J., Olderog, ER. (eds) Provably Correct Systems. NASA Monographs in Systems and Software Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-48628-4_3

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  • DOI: https://doi.org/10.1007/978-3-319-48628-4_3

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