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W. K. S. Tang and L. Kocarev, “Identification and Monitoring of Biological Neural Network,” IEEE International Symposium on Circuits and Systems, New Orleans, 27-30 May 2007, pp. 2646-2649. doi:10.1109/ISCAS.2007.377957

has been cited by the following article:

• TITLE: State Reconstruction for Complex Dynamical Networks with Noises

  AUTHORS: Chunxia Fan, Guoping Jiang

  KEYWORDS: State Reconstruction; Complex Dynamical Networks; Noisy Circumstance; H∞ Performance

  JOURNAL NAME: International Journal of Modern Nonlinear Theory and Application, Vol.1 No.1, March 29, 2012

  ABSTRACT: The state reconstruction problem is addressed for complex dynamical networks coupled with states and outputs respectively, in a noisy transmission channel. By using Lyapunov stability theory and H∞ performance, two schemes of state reconstruction are proposed for the complex dynamical networks with the nodes coupled by states and outputs respectively, and the estimation errors are convergent to zeros with H∞ performance index. A numerical simulation demonstrates the effectiveness of the proposed observers.