Topology identification of complex dynamical networks

Junchan Zhao, Qin Li, Jun An Lu, Zhong Ping Jiang

Research output: Contribution to journalArticle

Abstract

Recently, some researchers investigated the topology identification for complex networks via LaSalle's invariance principle. The principle cannot be directly applied to time-varying systems since the positive limit sets are generally not invariant. In this paper, we study the topology identification problem for a class of weighted complex networks with time-varying node systems. Adaptive identification laws are proposed to estimate the coupling parameters of the networks with and without communication delays. We prove that the asymptotic identification is ensured by a persistently exciting condition. Numerical simulations are given to demonstrate the effectiveness of the proposed approach.

Original languageEnglish (US)
Article number016002CHA
JournalChaos
Volume20
Issue number2
DOIs
StatePublished - Apr 2010

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • Physics and Astronomy(all)
  • Applied Mathematics

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