Finite-time Stabilization for Uncertain Neural Networks With Time-varying Delay
Author:
Deng Mengxiao1, Dong Yali1, Ding Mengying1
Affiliation:
1. School of Mathematical Sciences, Tiangong University, Tianjin, CHINA
Abstract
In this paper, the problems of finite-time boundedness and control design for uncertain neuralnetworks with time-varying delay is considered. By constructing Lyapunov-Krasovskii function and using thematrix inequality method, sufficient conditions for finite-time boundedness of a class of neural networks withtime-varying delay are established. Then, we proposed a criterion to ensure that the neural networks with timevarying delay is finite-time stabilizable. A numerical example is given to verify the validity of the results.
Publisher
World Scientific and Engineering Academy and Society (WSEAS)
Subject
Computer Science Applications,Control and Systems Engineering
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