Abstract
Cyber-Physical Systems (CPSs) [1] connect the real world to software systems through a network of sensors and actuators in which physical and logical components interact in complex ways. There is a diverse range of application domains [2], including health [3], energy [4], transport [5], autonomous vehicles [6] and robotics [7]; and many of these include safety critical requirements [8]. Such systems are, by definition, characterised by both discrete and continuous components. The development and verification processes must, therefore, incorporate and integrate discrete and continuous models.
The development of techniques and tools to handle the correct design of CPSs has drawn the attention of many researchers. Continuous modelling approaches are usually based on a formal mathematical expression of the problem using dense reals and differential equations to model the behaviour of the studied hybrid system. Then, models are simulated in order to check required properties. Discrete modelling approaches rely on formal methods, based on abstraction, model-checking and theorem proving. There is much ongoing research concerned with how best to combine these approaches in a more coherent and pragmatic fashion, in order to support more rigorous and automated hybrid-design verification.
It is also possible to combine different discrete-event and continuous-time models using a technique called co-simulation. This has been supported by different tools and the underlying foundation for this has been analysed. Thus, the track will also look into these areas as well as the industrial usage of this kind of technology.
This work was supported by grant ANR-17-CE25-0005 (The DISCONT Project https://fusionforge.int-evry.fr/www/discont/) from the Agence Nationale de la Recherche (ANR).
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References
Rajkumar, R.R., Lee, I., Sha, L., Stankovic, J.: Cyber-physical systems: the next computing revolution. In: Proceedings of the 47th Design Automation Conference, pp. 731–736. ACM (2010)
Shi, J., Wan, J., Yan, H., Suo, H.: A survey of cyber-physical systems. In: 2011 International Conference on Wireless Communications and Signal Processing (WCSP), pp. 1–6. IEEE (2011)
Haque, S.A., Aziz, S.M., Rahman, M.: Review of cyber-physical system in healthcare. Int. J. Distrib. Sens. Netw. 10(4), 217415 (2014)
Ilic, M.D., Xie, L., Khan, U.A., Moura, J.M.: Modeling of future cyber-physical energy systems for distributed sensing and control. IEEE Trans. Syst. Man Cybern.-Part A: Syst. Hum. 40(4), 825–838 (2010)
Sampigethaya, K., Poovendran, R.: Aviation cyber-physical systems: foundations for future aircraft and air transport. Proc. IEEE 101(8), 1834–1855 (2013)
Kim, J., Kim, H., Lakshmanan, K., Rajkumar, R.R.: Parallel scheduling for cyber-physical systems: analysis and case study on a self-driving car. In: Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems, pp. 31–40. ACM (2013)
Fink, J., Ribeiro, A., Kumar, V.: Robust control for mobility and wireless communication in cyber-physical systems with application to robot teams. Proc. IEEE 100(1), 164–178 (2012)
Banerjee, A., Venkatasubramanian, K.K., Mukherjee, T., Gupta, S.K.: Ensuring safety, security, and sustainability of mission-critical cyber-physical systems. Proc. IEEE 100(1), 283–299 (2012)
Muller, D., Schumacher, C., Zeidler, F.: Intelligent adaption process in cyber-physical production systems. In: Margaria, T., Steffen, B. (eds.), ISoLA 2018, LNCS 11246, pp. 411–428, 2018. Springer, Heidelberg (2018)
Leroux, R., Pantel, M., Ober, I., Bruel, J.M.: Model-based systems engineering for systems simulation. In: Margaria, T., Steffen, B. (eds.), ISoLA 2018, LNCS 11246, pp. 429–448, 2018. Springer, Heidelberg (2018)
Hungar, H.: Scenario-based validation of automated driving systems. In: Margaria, T., Steffen, B. (eds.), ISoLA 2018, LNCS 11246, pp. 449–460, 2018. Springer, Heidelberg (2018)
Konig, C.F.J., Meisl, G., Balcu, N., Vosseler, B., Hormann, H., Holl, J., Fäßler, V.: Engineering of Cyber-Physical Systems in the automotive context: case study of a range prediction assistant. In: Margaria, T., Steffen, B. (eds.), ISoLA 2018, LNCS 11246, pp. 461–476, 2018. Springer, Heidelberg (2018)
Larsen, P.G., Fitzgerald, J., Woodcock, J., Gamble, C., Payne, R., Pierce, K.: Features of integrated model-based co-modelling and co-simulation technology. In: Cerone, A., Roveri, M. (eds.) SEFM 2017. LNCS, vol. 10729, pp. 377–390. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74781-1_26
Brauer, J., Moller, O., Peleska, J.: Testing Avionics Software: Is FMI up to the Task? In: Margaria, T., Steffen, B. (eds.), ISoLA 2018, LNCS 11246, pp. 477–487, 2018. Springer, Heidelberg (2018)
Gomes, C., Thule, C., Deantoni, J., Larsen, P.G., Vangheluwe, H.: Co-simulation: the past, future, and open challenges. In: Margaria, T., Steffen, B. (eds.), ISoLA 2018, LNCS 11246, pp. 504–520, 2018. Springer, Heidelberg (2018)
Couto, L.D., et al.: Lessons learned using FMI co-simulation for model-based design of cyber physical systems. In: Margaria, T., Steffen, B. (eds.), ISoLA 2018, LNCS 11246, pp. 488–503, 2018. Springer, Heidelberg (2018)
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Gibson, J.P., Larsen, P.G., Pantel, M., Fitzgerald, J., Woodcock, J. (2018). Cyber-Physical Systems Engineering: An Introduction. In: Margaria, T., Steffen, B. (eds) Leveraging Applications of Formal Methods, Verification and Validation. Distributed Systems. ISoLA 2018. Lecture Notes in Computer Science(), vol 11246. Springer, Cham. https://doi.org/10.1007/978-3-030-03424-5_27
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