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
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Machine Intelligence Research
Erschienen in: International Journal of Automation and Computing 3/2015

01.06.2015 | Regular Paper

Distributed adaptive synchronization of complex dynamical network with unknown time-varying weights

verfasst von: Hui-Na Feng, Jun-Min Li

Erschienen in: Machine Intelligence Research | Ausgabe 3/2015

Einloggen

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

search-config
loading …

Abstract

A new approach of adaptive distributed control is proposed for a class of networks with unknown time-varying coupling weights. The proposed approach ensures that the complex dynamical networks achieve asymptotical synchronization and all the closed-loop signals are bounded. Furthermore, the coupling matrix is not assumed to be symmetric or irreducible and asymptotical synchronization can be achieved even when the graph of network is not connected. Finally, a simulation example shows the feasibility and effectiveness of the approach.
Vorheriger Artikel Iterative learning control for discrete parabolic distributed parameter systems
Nächster Artikel A high-order internal model based iterative learning control scheme for discrete linear time-varying systems

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
Literatur
[1]
S. H. Strogatz. Exploring complex networks. Nature, vol. 410, no. 6825, pp. 268–276, 2001.CrossRef
[2]
X. F. Wang. Complex networks: Topology, dynamics and synchronization. International Journal of Bifurcation and Chaos, vol.12, no. 5, pp. 885–916. 2002.MathSciNetCrossRefMATH
[3]
F. Dörfler, F. Bullo. Exploring synchronization in complex oscillator networks. In Proceedings of the 51st IEEE Conference on Decision and Control, IEEE, Hawaii, USA, pp. 7157–7170, 2012.
[4]
L. Chen, J. A. Lu. Cluster synchronization in a complex dynamical network with two nonidentical clusters. Journal of Systems Science and Complexity, vol. 21, no. 1, pp. 20–33, 2008.MathSciNetCrossRefMATH
[5]
X. Y. Guo, J. M. Li. Projective synchronization of complex dynamical networks with time-varying coupling strength via hybrid feedback control. Chinese Physics Letters, vol. 28, no. 12, Article number 120503, 2011.
[6]
Z. H. Guan, Z. W. Liu, G. Feng, Y. W. Wang. Synchronization of complex dynamical networks with time-varying delays via impulsive distributed control. IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 57, no. 8, pp. 2182–2195, 2010.MathSciNetCrossRef
[7]
Z. K. Li, W. Ren, X. D. Liu, L. H. Xie. Distributed consensus of linear multi-agent systems with adaptive dynamic protocols. Automatica, vol. 49, no. 7, pp. 1986–1995, 2013.MathSciNetCrossRef
[8]
W. W. Yu, G. R. Chen, Z. D. Wang, W. Yang. Distributed consensus filtering in sensor networks. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 39, no. 6, pp. 1568–1577, 2009.CrossRef
[9]
W. W. Yu, G. R. Chen, W. Ren, J. Kurths, W. X. Zheng. Distributed higher order consensus protocols in multiagent dynamical systems. IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 58, no. 8, pp. 1924–1932, 2011.MathSciNetCrossRef
[10]
L. Wang, H. P. Dai, X. J. Kong, Y. X. Sun. Synchronization of uncertain complex dynamical networks via adaptive control. International Journal of Robust and Nonlinear Control, vol. 19, no. 5, pp. 495–511, 2009.MathSciNetCrossRefMATH
[11]
A. Das, F. L. Lewis. Distributed adaptive control for synchronization of unknown nonlinear networked systems. Automatica, vol. 46, no. 12, pp. 2014–2021, 2010.MathSciNetCrossRefMATH
[12]
W. W. Yu, P. DeLellis, G. R. Chen, M. di Bernardo, J. Kurths. Distributed adaptive control of synchronization in complex networks. IEEE Transactions on Automatic Control, vol. 57, no. 8, pp. 2153–2158, 2012.MathSciNetCrossRef
[13]
X. Y. Guo, J. M. Li. A new synchronization algorithm for delayed complex dynamical networks via adaptive control approach. Communications in Nonlinear Science and Numerical Simulation, vol. 17, no. 11, pp. 4395–4403, 2012.MathSciNetCrossRefMATH
[14]
T. F. Wang, J. M. Li, S. Tang. Adaptive synchronization of nonlinearly parameterized complex dynamical networks with unknown time-varying parameters. Mathematical Problems in Engineering, vol. 2012, Article number 592539, 2012.
[15]
M. Shi, J. M. Li, C. He. Synchronization of complex dynamical networks with nonidentical nodes and derivative coupling via distributed adaptive control. Mathematical Problems in Engineering, vol. 2013, Article number 172608, 2013.
[16]
Metadaten
Titel
Distributed adaptive synchronization of complex dynamical network with unknown time-varying weights
verfasst von
Hui-Na Feng
Jun-Min Li
Publikationsdatum
01.06.2015
Verlag
Institute of Automation, Chinese Academy of Sciences
Erschienen in
Machine Intelligence Research / Ausgabe 3/2015
Print ISSN: 2731-538X
Elektronische ISSN: 2731-5398
DOI
https://doi.org/10.1007/s11633-015-0889-7

Weitere Artikel der Ausgabe 3/2015

International Journal of Automation and Computing 3/2015 Zur Ausgabe

Regular Paper

On the current error based sampled-data iterative learning control with reduced memory capacity

Regular Paper

Discrete-frequency convergence of iterative learning control for linear time-invariant systems with higher-order relative degree

Regular Paper

Genetic algorithm with variable length chromosomes for network intrusion detection

Brief Paper

Lifted system framework for learning control with different trial lengths

Regular Paper

Robust fault-tolerant iterative learning control for discrete systems via linear repetitive processes theory

Survey Paper

Feature selection and feature learning for high-dimensional batch reinforcement learning: A survey