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

Tengfei Wang, Junmin Li and Shu Tang

Mathematical Problems in Engineering, 2012, vol. 2012, 1-16

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.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:592539

DOI: 10.1155/2012/592539

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