Abstract
Using delayed state-feedback controller and analytic technique, the synchronization control of discrete-time neural network with delay is investigated. Sufficient conditions guaranteeing the synchronized behavior are obtained without assuming the boundedness and differentiability of activation functions. Numerical simulations show the effectiveness of the control scheme.
Publisher
Acta Physica Sinica, Chinese Physical Society and Institute of Physics, Chinese Academy of Sciences
Subject
General Physics and Astronomy
Cited by
7 articles.
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