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Adaptive Synchronization of Nonlinearly Parameterized Complex Dynamical Networks with Unknown Time-Varying Parameters

Author

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  • Tengfei Wang
  • Junmin Li
  • Shu Tang

Abstract

A new adaptive learning control approach is proposed for a class of nonlinearly parameterized complex dynamical networks with unknown time-varying parameters. By using the parameter separation and reparameterization technique, the adaptive learning laws of periodically time-varying and constant parameters and an adaptive control strategy are designed to ensure the asymptotic convergence of the synchronization error in the sense of square error norm. Then, a sufficient condition of the synchronization is given by constructing a composite energy function. Finally, an example of the complex network is used to verify the effectiveness of proposed approach.

Suggested Citation

  • Tengfei Wang & Junmin Li & Shu Tang, 2012. "Adaptive Synchronization of Nonlinearly Parameterized Complex Dynamical Networks with Unknown Time-Varying Parameters," Mathematical Problems in Engineering, Hindawi, vol. 2012, pages 1-16, April.
    • Handle: RePEc:hin:jnlmpe:592539
    DOI: 10.1155/2012/592539
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