research-article

Free access

Hybrid co-simulation of FMUs using DEV&DESS in MECSYCO

Authors:

Benjamin Camus,

Virginie Galtier,

Mathieu Caujolle,

Vincent Chevrier,

Julien Vaubourg,

Laurent Ciarletta,

Christine BourjotAuthors Info & Claims

TMS-DEVS '16: Proceedings of the Symposium on Theory of Modeling & Simulation

Article No.: 8, Pages 1 - 8

Published: 03 April 2016 Publication History

Abstract

Co-simulation is a key tool in the design and operation of a growing number of complex cyber-systems. But efficiently yet accurately combining continuous time components (such as FMUs) with event-based ones can be challenging, both from a modeling perspective and an operational, tools-oriented one. We propose a platform to tackle this problem building up on MECSYCO, a MAS-based DEVS wrapping platform dedicated to co-simulation. Relying on the ability of DEVS to integrate the DEV&DESS formalism -which offers a sound framework for describing hybrid models- we propose a DEV&DESS wrapper for FMU. This wrapper encapsulates a version of the DEV&DESS simulation algorithm for FMU components which is notably composed of: (1) a forecast strategy which searches for the next state-event; (2) a bisectional algorithm to approach the location of the state-change in an FMU. Our solution is implemented using Java and JavaFMI to control the FMU. Our sample case is the co-simulation of a barrel-filler factory implemented in different FMUs and event-based models. Compared to related works, our proposal is functional, generic, yet evolutionary, and benefits from the strong foundations of DEV&DESS.

References

[1]

Barros, F. J. Dynamic structure multiparadigm modeling and simulation. ACM Trans. Model. Comput. Simul. 13, 3 (July 2003), 259--275.

Digital Library

[2]

Barros, F. J., and Zeigler, B. P. Model interoperability in the discrete event paradigm: Representation of continuous models. In Modeling and Simulation: Theory and Practice. Springer US, 2003, 103--126.

[3]

Blochwitz, T., Otter, M., Åkesson, J., et al. Functional mockup interface 2.0: The standard for tool independent exchange of simulation models. In Proc. 9th International Modelica Conference (2012), 173--184.

[4]

Bryant, R. E. Simulation on a distributed system. In Proc. of the 16th Design Automation Conf. (1979).

[5]

Camus, B., Bourjot, C., and Chevrier, V. Combining DEVS with multi-agent concepts to design and simulate multi-models of complex systems (WIP). In Proc. of TMS/DEVS 15, SCS (2015), 85--90.

Digital Library

[6]

Camus, B., Bourjot, C., and Chevrier, V. Considering a multi-level model as a society of interacting models: Application to a collective motion example. JASSS 18, 3 (2015), 7.

[7]

Camus, B., Caujolle, M., and Galtier, V. MECSYCO-DACCOSIM coupling. Tech. rep., LORIA, Inria, EDF R&D, CentraleSupélec, 2015.

[8]

Cellier, F. E. Combined continuous/discrete system simulation languages--usefulness, experiences and future development. Methodology in systems modelling and simulation (1979), 201--220.

[9]

Chandy, K. M., and Misra, J. Distributed simulation: A case study in design and verification of distributed programs. IEEE Trans. Software Engineering (1979).

Digital Library

[10]

Galtier, V., Vialle, S., Dad, C., et al. FMI-based distributed multi-simulation with DACCOSIM. In Proc. of TMS/DEVS 15, SCS (2015), 39--46.

Digital Library

[11]

Hernández-Cabrera, J. J., Évora Gómez, J., and Cortès-Montenegro, J. JavaFMI. SIANI. University of Las Palmas, Spain.

[12]

Kim, Y. J., and Kim, T. G. A heterogeneous simulation framework based on the DEVS BUS and the high level architecture. In Proc. of WSC '98, vol. 1, IEEE (1998).

Digital Library

[13]

Kofman, E. Discrete event simulation of hybrid systems. SIAM Journal on Scientific Computing 25, 5 (2004).

Digital Library

[14]

Mittal, S., Ruth, M., Pratt, A., et al. A system-of-systems approach for integrated energy systems modeling and simulation. In Proc. of SummerSim' 15, SCS/ACM (2015), 1--10.

Digital Library

[15]

Moler, C. Are we there yet? Zero crossing and event handling for differential equations, Matlab News & Notes (1997), 16--17.

[16]

Mosterman, P. Hybrid dynamic systems: Modeling and execution. In Handbook of dynamic system modeling, P. A. Fishwick, Ed. CRC Press, 2007, ch. 15, 1--26.

[17]

Muller, W., and Widl, E. Linking FMI-based components with discrete event systems. In Proc. SysCon (2013), 676--680.

[18]

Praehofer, H. System theoretic formalisms for combined discrete-continuous system simulation. International Journal of General System 19, 3 (1991), 226--240.

[19]

Quesnel, G., Duboz, R., Versmisse, D., and Ramat, É. DEVS coupling of spatial and ordinary differential equations: VLE framework. In Proc. OICMS '05 (2005).

[20]

Ricci, A., Viroli, M., and Omicini, A. Give agents their artifacts: the A&A approach for engineering working environments in MAS. In AAMAS '07, ACM (2007).

Digital Library

[21]

Siebert, J., Ciarletta, L., and Chevrier, V. Agents and artefacts for multiple models co-evolution: building complex system simulation as a set of interacting models. In Proc. of AAMAS '10, AAMAS/ACM (2010).

Digital Library

[22]

Vangheluwe, H. DEVS as a common denominator for multi-formalism hybrid systems modelling. In Proc. of CACSD '00 (2000), 129--134.

[23]

Vangheluwe, H., De Lara, J., and Mosterman, P. J. An introduction to multi-paradigm modelling and simulation. In Proc. AIS2002. (2002), 9--20.

[24]

Vaubourg, J., Presse, Y., Camus, B., et al. Multi-agent multi-model simulation of smart grids in the MS4SG project. In Proc. PAAMS 15. Springer, 2015, 240--251.

[25]

Zeigler, B., Praehofer, H., and Kim, T. Theory of Modeling and Simulation: Integrating Discrete Event and Continuous Complex Dynamic Systems. Academic Press, 2000.

Digital Library

[26]

Zeigler, B. P. Embedding DEV&DESS in DEVS. In Proc. DEVS Integrative M&S Symp, vol. 7 (2006).

[27]

Zeigler, B. P., and Ören, T. I. Multifaceted, multiparadigm modeling perspectives: tools for the 90's. In Proc. of WSC '86, ACM (1986), 708--712.

Digital Library

Cited By

Quraishi MSarjoughian HGholami SJohansson BJain S(2018)Co-simulation of hardware RTL and software system using FMIProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320594(572-583)Online publication date: 9-Dec-2018
https://dl.acm.org/doi/10.5555/3320516.3320594
Bouanan YGorecki SRibault JZacharewicz GPerry N(2018)Including in HLA federation functional mockup units for supporting interoperability and reusability in Distributed SimulationProceedings of the 50th Computer Simulation Conference10.5555/3275382.3275405(1-12)Online publication date: 9-Jul-2018
https://dl.acm.org/doi/10.5555/3275382.3275405
Gorecki SBouanan YZacharewicz GPerry ND'Ambrogio ADurak USeck M(2018)BPMN modeling for HLA based simulation and visualizationProceedings of the Model-driven Approaches for Simulation Engineering Symposium10.5555/3213214.3213225(1-12)Online publication date: 15-Apr-2018
https://dl.acm.org/doi/10.5555/3213214.3213225
Show More Cited By

Index Terms

Hybrid co-simulation of FMUs using DEV&DESS in MECSYCO
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation theory

Recommendations

Co-simulation of cyber-physical systems using a DEVS wrapping strategy in the MECSYCO middleware

Most modeling and simulation M&S questions about cyber-physical systems CPSs require expert skills belonging to different scientific fields. The challenges are then to integrate each domain's tools formalism and simulation software within the rigorous ...
Co-simulation of FMUs and Distributed Applications with SimGrid
SIGSIM-PADS '18: Proceedings of the 2018 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation

The Functional Mock-up Interface (FMI) standard is becoming an essential solution for co-simulation. In this paper, we address a specific issue which arises in the context of Distributed Cyber-Physical System (DCPS) co-simulation where Functional Mock-...
Rapid prototyping of self-adaptive-systems using python functional mockup units
SummerSim '20: Proceedings of the 2020 Summer Simulation Conference

During the development of Cyber-Physical Systems (CPSs), it is crucial to enable efficient collaboration between different disciplines. Co-simulation plays a key role in this by allowing the system as a whole to be simulated by composing simulations of ...

Comments

Information & Contributors

Information

Published In

cover image Guide Proceedings

TMS-DEVS '16: Proceedings of the Symposium on Theory of Modeling & Simulation

April 2016

229 pages

ISBN:9781510823211

Conference Chairs:
Fernando Barros
University of Coimbra, Portugal
,
Herbert Prähofer
Johannes Kepler University Linz, Austria
,
Program Chairs:
Xiaolin Hu
Georgia State University
,
Joachim Denil
University of Antwerp, Belgium

Publisher

Society for Computer Simulation International

San Diego, CA, United States

Publication History

Published: 03 April 2016

Author Tags

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

8
Total Citations
View Citations
96
Total Downloads

Downloads (Last 12 months)27
Downloads (Last 6 weeks)10

Reflects downloads up to 21 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

Quraishi MSarjoughian HGholami SJohansson BJain S(2018)Co-simulation of hardware RTL and software system using FMIProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320594(572-583)Online publication date: 9-Dec-2018
https://dl.acm.org/doi/10.5555/3320516.3320594
Bouanan YGorecki SRibault JZacharewicz GPerry N(2018)Including in HLA federation functional mockup units for supporting interoperability and reusability in Distributed SimulationProceedings of the 50th Computer Simulation Conference10.5555/3275382.3275405(1-12)Online publication date: 9-Jul-2018
https://dl.acm.org/doi/10.5555/3275382.3275405
Gorecki SBouanan YZacharewicz GPerry ND'Ambrogio ADurak USeck M(2018)BPMN modeling for HLA based simulation and visualizationProceedings of the Model-driven Approaches for Simulation Engineering Symposium10.5555/3213214.3213225(1-12)Online publication date: 15-Apr-2018
https://dl.acm.org/doi/10.5555/3213214.3213225
Camus BParis TVaubourg JPresse YBourjot CCiarletta LChevrier V(2018)Co-simulation of cyber-physical systems using a DEVS wrapping strategy in the MECSYCO middlewareSimulation10.1177/003754971774901494:12(1099-1127)Online publication date: 1-Dec-2018
https://dl.acm.org/doi/10.1177/0037549717749014
D'Angelo MNapolitano ACaporuscio MChaudron MCrnkovic IChechik MHarman M(2018)CyPhEFProceedings of the 40th International Conference on Software Engineering: Companion Proceeedings10.1145/3183440.3183483(101-104)Online publication date: 27-May-2018
https://dl.acm.org/doi/10.1145/3183440.3183483
Gomes CThule CBroman DLarsen PVangheluwe H(2018)Co-SimulationACM Computing Surveys10.1145/317999351:3(1-33)Online publication date: 23-May-2018
https://dl.acm.org/doi/10.1145/3179993
Damodaran SMittal S(2017)Controlled environments for cyber risk assessment of cyber-physical systemsProceedings of the Summer Simulation Multi-Conference10.5555/3140065.3140068(1-12)Online publication date: 9-Jul-2017
https://dl.acm.org/doi/10.5555/3140065.3140068
Cremona FLohstroh MBroman DDi Natale MLee ETripakis STalpin J(2016)Step revision in hybrid co-simulation with FMIProceedings of the 14th ACM-IEEE International Conference on Formal Methods and Models for System Design10.5555/3343414.3343438(173-183)Online publication date: 18-Nov-2016
https://dl.acm.org/doi/10.5555/3343414.3343438

View Options

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Table of Contents