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 a Reference Architecture for Digital and Model-Based Engineering Information Systems Kapitel lesen Erstes Kapitel lesen

2022 | OriginalPaper | Buchkapitel

Ontology-Enabled Hardware-Software Testbed for Engineering Adaptive Systems

verfasst von : Edwin Ordoukhanian, Azad M. Madni

Erschienen in: Recent Trends and Advances in Model Based Systems Engineering

Verlag: Springer International Publishing

Einloggen

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

search-config
loading …

Abstract

Adaptive systems are class of systems that change their behavior in response to external or internal disrupting events. These kinds of system are of interest to government, industry, and research community. An instance of an adaptive system is a multi-UAV swarm operating in open, dynamic environment. Such systems are employed to carry out missions such as search and rescue and disaster relief. Developing adaptive systems requires a hardware-software testbed to explore system behavior and make adjustments to achieve desired behaviors. This paper presents an ontology-enabled approach for developing integrated hardware-software testbed for engineering adaptive systems. Multi-UAV operation is used as an illustrative example of an adaptive system that stands to benefit from a hardware-software experimentation testbed.

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 Ontological Modeling of Time and Time-Based Reasoning for Systems of Systems
Nächstes Kapitel An Ontology for System Reconfiguration: Integrated Modular Avionics IMA Case Study
Literatur
Afanasov, M., A. Djordjevic, F. Lui, and L. Mottola. 2019. FlyZone: A Testbed for Experimenting with Aerial Drone Applications. In The 17th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys ’19), June 17–21, 2019, Seoul, Republic of Korea. ACM, New York, 13 pages.
Barnes, L., M. Fields, and K. Valavanis. 2007. Unmanned Ground Vehicle Swarm Formation Control Using Potential Fields. In Mediterranean Conference on Control and Automation.
D’Andrea, R., and M. Babish. 2003. The Roboflag Testbed. In Proceedings of the 2003 American Control Conference, 2003. 2003 Jun 4 (Vol. 1, pp. 656-660). IEEE.
Gaudiano, P., E. Bonabeau, and B. Shargel. 2005. Evolving Behaviors for a Swarm of Unmanned Air Vehicles, In Proceedings of IEEE 2005, IEEE, 2005, online. Available from IEEEXplore.
Lidowski, R.L. 2008. A Novel Communications Protocol Using Geographic Routing for Swarming UAVs Performing a Search Mission, Master’s thesis, Air Force Institute of Technology.
Liu, B., et al. 2008. Controllability of a Leader Follower Dynamic Network With Switching Topology. IEEE Transactions on Automatic Control 53: 1009–1013.MathSciNetMATHCrossRef
Madni, A.M. 2019. Ontology-Enabled Testbed for Developing, Integrating, and Testing of Adaptive Cyber-Physical-Human Systems. Systems Architecting and Engineering, White Paper, July 10, 2019.
Madni, A.M., and S. Jackson. 2009. Towards a Conceptual Framework for Resilience Engineering. IEEE Systems Journal. 3 (2): 181–191.CrossRef
Madni, A.M., C.C. Madni, and S.D. Lucero. 2019 Mar. Leveraging Digital Twin Technology in Model-Based Systems Engineering. Systems. 7 (1): 7.CrossRef
Michael, N., J. Fick, and V. Kumar. 2008. Experimental Testbed for Large Multirobot Teams.
Milam, K.M. 2004. Evolution of Control Programs for a Swarm of Autonomous Unmanned Aerial Vehicles, Master’s thesis, Air Force Institute of Technology.
Montufar, D. I., F. Munoz, E. S. Espinoza, O. Garcia, and S. Salazar. Multi-UAV Testbed for aerial Manipulation Applications. In 2014 International Conference on Unmanned Aircraft Systems (ICUAS) 2014 May 27 (pp. 830–835). IEEE.
O’Neill, E., M. Klepal, D. Lewis, T. O’Donnell, D. O’Sullivan, and D. Pesch. 2005. A Testbed for Evaluating Human Interaction with Ubiquitous Computing Environments. In First International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities 2005 Feb 23 (pp. 60–69). IEEE.
Ordoukhanian, E., and A.M. Madni. 2019. Model-Based Approach to Engineering Resilience in Multi-UAV Systems. Systems 7: 11.CrossRef
Pack, D.J., and B.E. Mullins. 2003. Toward Finding an Universal Search Algorithm for Swarm Robots, in: Proceedings of the 2003 IEEE/RSJ International Conference on Intelligence Robots and Systems, 2003, pp. 1945–1950.
Palacios, F.M., E.S. Quesada, G. Sanahuja, S. Salazar, O.G. Salazar, and L.R. Carrillo. 2017. Test Bed for Applications of Heterogeneous Unmanned Vehicles. International Journal of Advanced Robotic Systems. 14 (1): 1729881416687111.
Parunak, H.V.D., M. Purcell, and R. O’Connell. 2002. Digital Pheromones for Autonomous Coordination of Swarming UAVs, Tech. rep., American Institute of Aeronautics and Astronautics.
Price, I.C. 2006. Evolving Self-Organized Behavior for Homogeneous and Heterogeneous UAV or UCAV Swarms, Master’s thesis, Air Force Institute of Technology.
Purta, R., M. Dobski, A. Jaworski, and G. Madey. 2013. A Testbed for Investigating the UAV Swarm Command and Control Problem Using DDDAS. Procedia Computer Science 18: 2018–2027.CrossRef
Schmittle, M., A. Lukina, L. Vacek, J. Das, C.P. Buskirk, S. Rees, J. Sztipanovits, R. Grosu, and V. Kumar. 2018. Openuav: A uav Testbed for the cps and Robotics Community. In 2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS) 2018 Apr 11 (pp. 130–139). IEEE.
Vincent, P., and I. Rubin. 2004. A Swarm-Assisted Integrated Communication and Sensing Network. In Battlespace Digitization and Network-Centric Systems IV, SPIE, SPIE Digital Library, ed. R. Suresh, vol. 5441, 48–60.CrossRef
Metadaten
Titel
Ontology-Enabled Hardware-Software Testbed for Engineering Adaptive Systems
verfasst von
Edwin Ordoukhanian
Azad M. Madni
Copyright-Jahr
2022
Buch
Recent Trends and Advances in Model Based Systems Engineering

Print ISBN: 978-3-030-82082-4

Electronic ISBN: 978-3-030-82083-1

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-3-030-82083-1_16

Premium Partner

    Bildnachweise