Delay-dependent Stability Criteria for Uncertain Stochastic Neural Networks with Interval Time-varying Delays

다국어 초록 (Multilingual Abstract)

In this paper, the problem of global asymptotic stability of uncertain stochastic neural networks with delay is considered. The delay is assumed to be time-varying and belong to a given interval. Based on the Lyapunov stability theory, new delay-dependent stability criteria for the system is derived in terms of LMI(linear matrix inequality). Three numerical examples are given to show the effectiveness of proposed method.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Problem Statements
• 3. Main results
• 4. Numerical Example
• 5. Conclusion
• Acknowledgement
• Appendix
• References
• 저자소개

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