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A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
Published on: May 25, 2019
New delay dependent stability criteria for recurrent neural networks with interval time-varying delay
Qiongfen Yang1, Quanhong Ren1, Xuemei Xie2
1School of Mathematics and Computer Science, Mianyang Normal University, Mianyang, Sichuan 621000, PR China.
Abstract:
This paper is concerned with the delay dependent stability criteria for a class of static recurrent neural networks with interval time-varying delay. By choosing an appropriate Lyapunov-Krasovskii functional and employing a delay partitioning method, the less conservative condition is obtained. Furthermore, the LMIs-based condition depend on the lower and upper bounds of time delay. Finally, a numerical example is also designated to verify the reduced conservatism of developed criteria.
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