A Note on “Global Robust Stability Criteria for Interval Delayed Neural Networks Via an LMI Approach”
Jinliang Shao, Ting‐Zhu Huang · IEEE Transactions on Circuits & Systems II Express Briefs · 2008
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.