Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Toward Agent-Supported and Agent-Monitored Model-Driven Simulation Engineering Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

3. Research on High-Performance Modeling and Simulation for Complex Systems

verfasst von : Bo Hu Li, Xudong Chai, Tan Li, Baocun Hou, Duzheng Qin, Qinping Zhao, Lin Zhang, Aimin Hao, Jun Li, Ming Yang

Erschienen in: Concepts and Methodologies for Modeling and Simulation

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The rapid development of high-performance modeling and simulation for complex systems (HPMSCS) is motivated by the application demands to support two types of users: (1) the high-end M&S users involved in complex systems of systems development and (2) users that require high-performance simulation cloud service on demand to utilize three types of simulation—mathematical, man-in-loop, and hardware-in-loop/embedded simulation. Those application demands raise great challenges to traditional M&S technology. This chapter examines these challenges and presents solution strategies developed by our research team.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Service-Oriented Model Engineering and Simulation for System of Systems Engineering
Nächstes Kapitel Dynamic Data-Driven Simulation: Connecting Real-Time Data with Simulation
Literatur
Abate CW, Bahr HA, Brabbs JM (1998) Embedded simulation for the army after next
Academy of Chinese Science Association (2014) Challenges and thoughts of modeling and simulation in BIG DATA era. Chinese Science Technology Press, Xi’an, China
Asia Simulation Company (2009) Embedded Simulation based Scenario Control System
Fan S, Li BH, Chai X et al (2009) Research on complex system oualitative and quantitative modeling technology. J Syst Simul 16(10):2166–2173
Li BH, Tong C (1986) A powerful simulation language ICSL. IMACS Transactions on Scientific Computation. pp 364–371
Li BH, Chai X et al (2001) Virtual prototyping engineering for complex product [A]. The proceedings of SeoulSim 2001
Li BH, Chai X et al (2004) Some focusing points in development of modern modeling and simulation technology. J Syst Simul 16(9):1871–1878MathSciNet
Li BH, Chai X, Hou B et al (2006) Research and application on CoSim (Collaborative Simulation) Grid [C]. The proceeding of MS-MTSA’06, Toronto, Canada
Li BH, Chai X, Hou B et al (2009) Networked modeling & simulation platform based on concept of cloud computing—cloud simulation platform [J]. J Syst Simul 21(17):5292–5299
Li T, Li BH, Chai X (2010a) An M2F-based modeling approach to the emerge mechanism in complex systems. J Beijing Univ Aeronaut Astronaut
Li T, Chai X, Hou B et al (2010b) Research and application on meta modeling framework of complex product multidiscipline virtual prototype. The proceeding of ICMSC 2010, Hongkong, China
Li BH, Chai X, Hou B et al (2010c) Some key technologies in complex system modeling and simulation. Xiangshan science conference, 5, Beijing, China
Li BH, Li T et al (2010d) The body of knowledge of complex system modeling and simulation. The proceedings of Xiangshan science meeting, Beijing, China
Li BH, Chai X, Yao Y et al (2011a) New advances in cloud simulation. Asia simulation conference, Seoul
Li T, Li BH, Chai X (2011b) Research and application on complex system modeling & simulation language architecture. Technical Report. School of Automation and Computer Science, Beijing University
Li T, Li BH, Chai X (2012) Research and application on complex system modeling & simulation language architecture. J Beijing University Aeronaut Astronaut 38(9):1240–1244MathSciNet
Li BH, Ören T, Zhao X, Wu Q, Chen Z, Xiao T, Gong G (2012a) Chinese-English English-Chinese modeling and simulation dictionary. Chinese Science Press, Beijing, China
Li BH, Zhao X et al (2012b) The primary design report of high performance simulation computer. Beijing Simulation Center, Beijing, China
Ören TI (1978) A personal view on the future of simulation languages (Keynote Paper). In: In: Proceedings of the 1978 UKSC conference on computer simulation. IPC Science and Technology Press, Chester, 4–6 Apr 1978, pp 294–306
Ören TI (1984) Quality assurance in modelling and simulation: a taxonomy. In: Ören TI, Zeigler BP, Elzas MS (eds) Simulation and model-based methodologies: an integrative view. Springer, Heidelberg, pp 477–517CrossRef
Ören, T.I. (1985). Intelligence in Simulation - Editorial. ACM Simuletter, 16:1, 2
Ören TI, Aytaç KZ (1985) Architecture of MAGEST: a knowledge-based modelling and simulation system. In: Javor A (ed) Simulation in research and development. North-Holland, Amsterdam, pp 99–109
Ören TI (1987) Quality assurance paradigms for artificial intelligence in modelling and simulation. Simulation 48(4):149–151CrossRef
Ören TI (2000a – Invited Paper) Agent-directed simulation – challenges to meet defense and civilian requirements. In: Joines JA et al (eds) Proceedings of the 2000 winter simulation conference. Orlando, 10–13 Dec 2000, pp 1757–1762
Ören TI (2000b – Invited Presentation) Use of intelligent agents for military simulation. Lecture notes of simulation for military planning, 21–22 Sept 2000. International Seminars and Symposia Centre, Brussels
Ören TI (2005 – Invited Tutorial) Toward the body of knowledge of modeling and simulation (M&SBOK). In: Proceedings of I/ITSEC (interservice/industry training, simulation conference), Orlando, 28 Nov–Dec 1; paper 2025, pp 1–19
Ören TI (2006) Body of knowledge of modeling and simulation (M&SBOK): pragmatic aspects. In: Proceedings of EMSS 2006 – 2nd European modeling and simulation symposium, Barcelona, 4–6 Oct 2006, (Presentation)
Ören TI, Zeigler BP (1979) Concepts for advanced simulation methodologies. Simulation 32(3):69–82CrossRef
President‘s Information Technology Advisory Committee (2005) Computational science: Ensuring America’s competitiveness, Washington D.C., USA
Qiao K, Tao F, Zhang L, Li Z (2010) Partner selection in virtual manufacturing based on a genetic algorithm maintained by binary heap and transitive reduction[C]. 2010 I.E. international conference on intelligent computing and integrated systems (ICISS 2010), Guilin, China
Shi Z (2014) Intelligent science technology. Chinese Computer Education
Shuai F, Xudong C, Tan L (2010) Knowledge handling methods in qualitative & quantitative fault diagnosis platform. Comput Integr Manuf Syst 16(10):2166–2173
Tao F, Zhang L, Zhang ZH, Nee AYC (2010) A quantum multi-agent evolutionary algorithm for selection of partners in a virtual enterprise. CIRP Annals-Manufacturing Technology, Edinburgh, Scotland
Wang Z, Yang M, Zhang B (1999) The present and future of simulation verification, validation and acceptance (VV & A). J Syst Simul 11(5):321–340
Wu Y, Zhang L, Tao F et al (2010) Study on high effective simulation of complex electromagnetic environment. 7th EUROSIM congress on modeling and simulation, Edinburgh, Scotland
Xiaofeng L, Li BH (1996) An algorithm for automatic parallel allocation and scheduling of a simulation task SMPS. J Syst Simul 13(7):1733–1737
Yang M, Zhang B, Ma P, Wang Z et al (2003) Five key issues of the development of simulation systems VV&A [J]. J Syst Simul 15(11):1506–1508
Yang C, Li BH, Chai X, Chi P (2013a) An efficient dynamic load balancing method for simulation of variable structure systems. In: Proceedings of 8th EUROSIM congress on modelling and simulation, London, England, pp 525–531
Yang C, Li BH, Chai X (2013b) Ivy: a parallel simulator for variable structure systems under multi-core environment. Int J Serv Comput Orient Manuf 1(1):103–123
Yilmaz L, Ören T (2010–Invited paper) Intelligent agent technologies for advancing simulation-based systems engineering via agent-directed simulation. SCS M&S Magazine. SCS M&S Magazine, July
Yiping Y (2012) High performance parallel simulation technology and its applications in SoS research. University of National Defense Science Technology, Changsha, China
Zhang L, Wu Y, Huntsinger RC et al (2009) Key issues in electromagnetic environment modeling & simulation. International summer computer simulation conference, Kyoto, Japan
Zhang Z, Li BH, Chai X et al (2010a) Research on high performance RTI architecture based on shared memory. The proceedings of ICCEE 2010, Beijing, China
Zhang Y, Li BH, Chai X et al (2010b) Research on virtualization-based simulation environment dynamically building technology for cloud simulation. The proceedings of ISAI 2010, Beijing, China
Zhang Y, Li BH, Chai X et al (2011) Research on the virtualization-based cloud simulation resource migration technology. J Syst Simul 23(6):268–1272
Zhen T, Li BH, Chai X (2007) Application of context-sensitivity in Pervasive Simulation Grid. J Comput Integr Manuf Syst 14(8):1550–1558
Metadaten
Titel
Research on High-Performance Modeling and Simulation for Complex Systems
verfasst von
Bo Hu Li
Xudong Chai
Tan Li
Baocun Hou
Duzheng Qin
Qinping Zhao
Lin Zhang
Aimin Hao
Jun Li
Ming Yang
Copyright-Jahr
2015
Buch
Concepts and Methodologies for Modeling and Simulation

Print ISBN: 978-3-319-15095-6

Electronic ISBN: 978-3-319-15096-3

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-15096-3_3

Premium Partner

    Bildnachweise