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A Note on “Global Robust Stability Criteria for Interval Delayed Neural Networks Via an LMI Approach”

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2 Author(s)
Jin-Liang Shao ; Sch. of Appl. Math., Univ. of Electron. Sci. & Technol. of China, Chengdu ; Ting-Zhu Huang

A recently reported result concerning the global exponential robust stability of delayed neural networks is revisited. It is shown by a counter example that the result is invalid because the proof is incorrect, and then a modified version is given. The paper also presents an improved sufficient condition for global exponential robust stability of the neural networks with unbounded activation functions and time-varying delays. Finally, a numerical simulation is given to show the effectiveness of the obtained result.

Published in:

Circuits and Systems II: Express Briefs, IEEE Transactions on  (Volume:55 ,  Issue: 11 )

Date of Publication:

Nov. 2008

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