Skip to main content

Checking Scheduling-Induced Violations of Control Safety Properties

  • Conference paper
  • First Online:
Book cover Automated Technology for Verification and Analysis (ATVA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13505))

Abstract

Cyber-physical systems (CPS) are typically implemented as a set of real-time control tasks with periodic activation. When a control task misses it’s deadline, policies for handling deadline miss – e.g. delayed scheduling of the task instance – may still lead the CPS into an unsafe or sub-optimal state. We present a technique for exact checking of such control safety and reachability properties, for a class of CPS, under common deadline miss handling and control update policies. In particular, we propose a joint encoding of control and scheduling behaviour as a satisfiability-modulo-theory formulation and a novel abstraction-refinement procedure with incremental solving to scale the analysis. Case studies with realistic systems show the utility of our approach.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    While our method can be adapted to handle preemptions, we focus on NP scheduling for ease of presentation and leave the extension as future work.

  2. 2.

    We assume a time-triggered hardware implementation of sensing/actuation, outside the scheduling purview, with values stored in buffers accessed by the control task.

  3. 3.

    Under NP-RM, priority (period) must be higher (lower): \(P_i \le P_{i'} ~\vee ~ s^i_j < r^{i'}_{j'}\).

  4. 4.

    Under NP-RM, this is \(P^{i'}<P^i\).

References

  1. Abate, A., et al.: Automated formal synthesis of digital controllers for state-space physical plants. In: Majumdar, R., Kunčak, V. (eds.) CAV 2017. LNCS, vol. 10426, pp. 462–482. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-63387-9_23

    Chapter  Google Scholar 

  2. Bjørner, N., Phan, A., Fleckenstein, L.: \(\nu \)z - an optimizing SMT solver. In: TACAS, pp. 194–199 (2015)

    Google Scholar 

  3. Dai, X., Burns, A.: Period adaptation of real-time control tasks with FP scheduling in cyber-physical systems. J. Syst. Arch. 103, 101691 (2020)

    Google Scholar 

  4. Dai, X., Zhao, S., Jiang, Y., Jiao, X., Hu, X.S., Chang, W.: Fixed-priority scheduling and controller co-design for time-sensitive networks. In: CAV (2020)

    Google Scholar 

  5. Frehse, G., Hamann, A., Quinton, S., Woehrle, M.: Formal analysis of timing effects on closed-loop properties of control software. In: RTSS, pp. 53–62 (2014)

    Google Scholar 

  6. Frehse, G., et al.: SpaceEx: scalable verification of hybrid systems. In: Gopalakrishnan, G., Qadeer, S. (eds.) CAV 2011. LNCS, vol. 6806, pp. 379–395. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-22110-1_30

    Chapter  Google Scholar 

  7. Gabel, R.A., Roberts, R.A.: Signals and Linear Systems, 2nd edn. Wiley, Hoboken (1980)

    Google Scholar 

  8. Hobbs, C., Ghosh, B., Xu, S., Duggirala, P.S., Chakraborty, S.: Safety analysis of embedded controllers under implementation platform timing uncertainties, IEEE TCAD (2022). (To appear)

    Google Scholar 

  9. Lunniss, W., Altmeyer, S., Davis, R.: Comparing FP and EDF accounting for cache related pre-emption delays. Leibniz Trans. Emb. Syst. 1(1), 01:1–01:24 (2014)

    Google Scholar 

  10. Maggio, M., Hamann, A., Mayer-John, E., Ziegenbein, D.: Control system stability under consecutive deadline misses. In: ECRTS, vol. 165, pp. 21:1–21:24 (2020)

    Google Scholar 

  11. Messner, W., Tilbury, D.: Control Tutorials for MATLAB and Simulink: A Web-Based Approach. Addison-Wesley (1999)

    Google Scholar 

  12. Minaeva, A., Roy, D., Akesson, B., Hanzálek, Z., Chakraborty, S.: Control performance optimization for application integration. In: IEEE ToC (2021)

    Google Scholar 

  13. Murphy, K.N.: Analysis of robotic vehicle steering and controller delay (1994)

    Google Scholar 

  14. O’Kelly, M., Zheng, H., Karthik, D., Mangharam, R.: F1tenth: an evaluation environment for continuous control and reinforcement learning. In: NeurIPS (2019)

    Google Scholar 

  15. Pazzaglia, P., Pannocchi, L., Biondi, A., Natale, M.D.: Beyond the weakly hard model: cost of deadline misses. In: ECRTS, vol. 106, pp. 10:1–10:22 (2018)

    Google Scholar 

  16. Roy, D., Ghosh, S., Zhu, Q., Caccamo, M., Chakraborty, S.: GoodSpread: criticality-aware static scheduling of CPS with multi-QoS. In: RTSS, pp. 178–190 (2020)

    Google Scholar 

  17. Roy, D., Hobbs, C., Anderson, J.H., Caccamo, M., Chakraborty, S.: Timing debugging for cyber-physical systems. In: DATE, pp. 1893–1898 (2021)

    Google Scholar 

  18. Vreman, N., Cervin, A., Maggio, M.: Stability and performance analysis of control systems subject to deadline misses. In: ECRTS, vol. 196, pp. 15:1–15:23 (2021)

    Google Scholar 

  19. Vreman, N., Mandrioli, C., Anton, C.: Deadline-miss-adaptive controller implementation for real-time control systems. In: RTAS (2022)

    Google Scholar 

  20. Vreman, N., Mandrioli, C.: Evaluation of burst failure robustness of control systems in the fog. In: Workshop on Fog-IoT. OASIcs, Schloss Dagstuhl (2020)

    Google Scholar 

  21. Zhang, L., Lu, P., Kong, F., Chen, X., Sokolsky, O., Lee, I.: Real-time attack-recovery for CPS using linear-quadratic regulator. ACM TECS 20(5s), 1–24 (2021)

    Google Scholar 

Download references

Acknowledgement

Hobbs and Chakraborty were funded by NSF grant 2038960.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anand Yeolekar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yeolekar, A., Metta, R., Hobbs, C., Chakraborty, S. (2022). Checking Scheduling-Induced Violations of Control Safety Properties. In: Bouajjani, A., Holík, L., Wu, Z. (eds) Automated Technology for Verification and Analysis. ATVA 2022. Lecture Notes in Computer Science, vol 13505. Springer, Cham. https://doi.org/10.1007/978-3-031-19992-9_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-19992-9_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-19991-2

  • Online ISBN: 978-3-031-19992-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics