Improved Stability Criteria for Neural Networks with Two Additive Time-Varying Delays

This paper studies the problem of stability criteria
for neural networks with two additive time-varying delays.A new
Lyapunov-Krasovskii function is constructed and some new delay
dependent stability criterias are derived in the terms of linear
matrix inequalities(LMI), zero equalities and reciprocally convex
approach.The several stability criterion proposed in this paper is
simpler and effective. Finally,numerical examples are provided to
demonstrate the feasibility and effectiveness of our results.

• Miaomiao Yang
• Shouming Zhong

• Stability
• Neural networks
• Linear Matrix Inequalities (LMI)
• Lyapunov function
• Time-varying delays

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