New Stability Criterion for Takagi-Sugeno Fuzzy Cohen-Grossberg Neural Networks with Probabilistic Time-Varying Delays

Xiongrui Wang, Ruofeng Rao and Shouming Zhong

Mathematical Problems in Engineering, 2017, vol. 2017, 1-11

Abstract:

A new global asymptotic stability criterion of Takagi-Sugeno fuzzy Cohen-Grossberg neural networks with probabilistic time-varying delays was derived, in which the diffusion item can play its role. Owing to deleting the boundedness conditions on amplification functions, the main result is a novelty to some extent. Besides, there is another novelty in methods, for Lyapunov-Krasovskii functional is the positive definite form of powers, which is different from those of existing literature. Moreover, a numerical example illustrates the effectiveness of the proposed methods.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:3793157

DOI: 10.1155/2017/3793157

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