Thursday 28th of March 2024
 

New robust stability criteria of neutral-type neural networks with interval time-varying delays


Mei-Yan Lin and Li-Yuan Wang

The existence, uniqueness and global robust exponential stability is analyzed for the equilibrium point of a class of neutral-type neural networks with time-varying delays. By dividing the variation interval of the time delay into two subintervals with equal length, a more general type of Lyapunov functionals is defined. Following the idea of convex combination and free-weighting matrices method, new delay-dependent stability criteria are presented in terms of linear matrix inequalities (LMIs). Three examples are also given to illustrate the effectiveness and less conservativeness of our proposed conditions than some previous ones.

Keywords: Global robust exponential stability; neutral-type neural networks; Jensen integral inequality; linear matrix inequality(LMI); free-weighting matrix

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ABOUT THE AUTHORS

Mei-Yan Lin
Dalian Jiaotong University

Li-Yuan Wang
Dalian Jiaotong University


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