Article ID Journal Published Year Pages File Type
4628777 Applied Mathematics and Computation 2013 9 Pages PDF
Abstract
In this paper, a non-fragile procedure is introduced to study the problem of synchronization of neural networks with time-varying delay. The controller gain fluctuation appears in a random way, which obeys certain Bernoulli distributed white noise sequences. Based on the linear matrix inequality (LMI) method, two delay-dependent criteria are derived to ensure the exponential stability of the error systems, which implies the master systems synchronize with the slave systems. The non-fragile controller can be obtained by solving a set of LMIs. A simulation example is given to illustrate the effectiveness of the proposed method.
Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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