Article | Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany | Cyber-Physical Systems Modeling and Simulation with Modelica Linköping University Electronic Press Conference Proceedings
Göm menyn

Title:
Cyber-Physical Systems Modeling and Simulation with Modelica
Author:
Dan Henriksson: Dassault Systèmes AB, Ideon Science Park, Lund, Sweden Hilding Elmqvist: Dassault Systèmes AB, Ideon Science Park, Lund, Sweden
DOI:
10.3384/ecp11063502
Download:
Full text (pdf)
Year:
2011
Conference:
Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany
Issue:
063
Article no.:
057
Pages:
502-509
No. of pages:
8
Publication type:
Abstract and Fulltext
Published:
2011-06-30
ISBN:
978-91-7393-096-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


Export in BibTex, RIS or text

This paper introduces the area of Cyber-Physica Systems (CPS) and describes the relation to Modelica and Modelica-based tools. Special aspects of CPS applications that should make Modelica well suited for their modeling and simulation are highlighted.

Recent Modelica developments facilitating integrated model-based system development applicable to CPS are presented. Especially; it is shown how detailed timing simulations; involving both real-time task scheduling and network communication; are realized in Modelica. A robot example is used to demonstrate the new CPS simulation features.

Keywords: Cyber-physical systems; Modelica; Model-based development; Timing simulation

Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany

Author:
Dan Henriksson, Hilding Elmqvist
Title:
Cyber-Physical Systems Modeling and Simulation with Modelica
DOI:
http://dx.doi.org/10.3384/ecp11063502
References:

[1] http://en.wikipedia.org/wiki/Cyberphysical_system

[2] http://varma.ece.cmu.edu/Summit/

[3] Cervin A.; Henriksson D.; Lincoln B.; Eker J.; and Årzén K.-E. How Does Control Timing Affect Performance? Analysis and Simulation of Timing Using Jitterbug and True-Time. IEEE Control Systems Magazine; 23:3; June; 2003.

[4] http://www.control.lth.se/truetime

[5] http://www.mathworks.com/

[6] Reuterswärd P.; Åkesson J.; Cervin A.; and Årzén K.-E. TrueTime Network – A Network Simulation Library for Modelica. In Proceedings of the 7th Modelica Conference; Como; Italy; September; 2009.

[7] http://www.eurosyslib.com/

[8] Elmqvist H.; Otter M.; Henriksson D.; Thiele B.; and Mattsson S. E. Modelica for Embedded Systems. In Proceedings of the 7th Modelica Conference; Como; Italy; September; 2009.

[9] http://www.modelisar.org/

[10] http://www.autosar.org/

[11] Lian F.-L.; Moyne J.; and Tilbury D. Network Protocols for Networked Control Systems. In Handbook of Networked and Embedded Control Systems (Hristu-Varsakelis and Levine Eds.); 2005.

[12] Paret; D. Multiplexed Networks for Embedded Systems; CAN; LIN; FlexRay; Safe-by-Wire…; Wiley; ISBN 978-0-470-03416-3; 2007.

[13] http://www.can-cia.org

[14] http://www.can-cia.org/index.php?id=521

[15] http://www.flexray.com

[16] Liu J. W. S. Real-Time Systems. Prentice Hall; 2000.

[17] http://www.functional-mockup-interface.org

Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany

Author:
Dan Henriksson, Hilding Elmqvist
Title:
Cyber-Physical Systems Modeling and Simulation with Modelica
DOI:
https://doi.org10.3384/ecp11063502
Note: the following are taken directly from CrossRef
Citations:
  • Weilin Li, Xiaobin Zhan & Huimin Li (2014). Co-simulation platforms for co-design of networked control systems: An overview. Control Engineering Practice, 23: 44. DOI: 10.1016/j.conengprac.2013.10.010
  • Ji Yeon Kim, Hyung Jong Kim, Jin Myoung Ki & Won Tae Kim (2012). A Study on Design of Communication Protocol for CPS Simulation. Advanced Materials Research, 488-489: 881. DOI: 10.4028/www.scientific.net/AMR.488-489.881
  • Ayan Banerje & Sandeep K.S. Gupta (2015). Analysis of Smart Mobile Applications for Healthcare under Dynamic Context Changes. IEEE Transactions on Mobile Computing, 14(5): 904. DOI: 10.1109/TMC.2014.2334606
  • Imen Graja, Slim Kallel, Nawal Guermouche, Saoussen Cheikhrouho & Ahmed Hadj Kacem (2018). A comprehensive survey on modeling of cyber-physical systems. Concurrency and Computation: Practice and Experience, : e4850. DOI: 10.1002/cpe.4850
  • Pengfei Li, Yaoyu Li, John E. Seem, Hongtao Qiao, Xiao L & Jon Winkler (2014). Recent advances in dynamic modeling of HVAC equipment. Part 2: Modelica-based modeling. HVAC&R Research, 20(1): 150. DOI: 10.1080/10789669.2013.836876
  • Cui Ye Song, Cheng Lie D & Gang Li (2014). An Event Bridge Framework for Modeling and Simulating Networked Hybrid Dynamic Behaviors. Applied Mechanics and Materials, 651-653: 1798. DOI: 10.4028/www.scientific.net/AMM.651-653.1798
  • Siddhartha Kumar Khaita & James D. McCalley (2015). Design Techniques and Applications of Cyberphysical Systems: A Survey. IEEE Systems Journal, 9(2): 350. DOI: 10.1109/JSYST.2014.2322503
  • Ahmad T. Al-Hammouri (2012). A comprehensive co-simulation platform for cyber-physical systems. Computer Communications, 36(1): 8. DOI: 10.1016/j.comcom.2012.01.003
  • Chen Chang, Su Shaohui, Peng Zhangming, Chen Guojin, Liu Haiqian & Gong Youping (2017). A novel simulation strategy for equation-based models of cyber-physical systems. Cluster Computing, : . DOI: 10.1007/s10586-017-1204-x


  • Responsible for this page: Peter Berkesand
    Last updated: 2019-10-02