Adaptive Synchronization of Nonlinearly Parameterized Complex Dynamical Networks with Unknown Time-Varying Parameters
2012 ◽
Vol 2012
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pp. 1-16
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Keyword(s):
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.
2021 ◽
2008 ◽
Vol 372
(20)
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pp. 3632-3639
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Keyword(s):
2017 ◽
Vol 20
(4)
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pp. 1088-1097
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