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J. J. Huang, C. D. Li and Q. Han, “Stabilization of Delayed Chaotic Neural Networks by Periodically Intermittent Control,” Circuits, Systems & Signal Processing, Vol. 28, No. 4, 2009, pp. 567-579. http://dx.doi.org/10.1007/s00034-009-9098-3

has been cited by the following article:

• TITLE: Matrix Measure with Application in Quantized Synchronization Analysis of Complex Networks with Delayed Time via the General Intermittent Control

  AUTHORS: Qunli Zhang

  KEYWORDS: Matrix Measure; The General Intermittent Control; Exponential Stability; Quantized Synchronization; Complex Networks

  JOURNAL NAME: Applied Mathematics, Vol.4 No.10, October 4, 2013

  ABSTRACT: This paper concerned with the quantized synchronization analysis problem. The scope of state vectors of dynamic systems, based on the matrix measure, is estimated. By using the general intermittent control, some simple yet generic criteria are derived ensuring the exponential stability of dynamic systems. Then, both the general intermittent networked controller and the quantized parameters can be designed, which guarantee that the nodes of the complex network are synchronized. Finally, simulation examples are given to illustrate the effectiveness and feasibility of the proposed method.