Improved Synchronization Analysis via Looped-Lyapunov for Stochastic Markovian Jump Neural Networks
Author:
Affiliation:
1. Division of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/8920/10235305/10086677.pdf?arnumber=10086677
Reference23 articles.
1. New asymptotic stability criteria for neural networks with time-varying delay
2. Stability analysis of neutral type neural networks with mixed time-varying delays using triple-integral and delay-partitioning methods
3. Admissibilization for Implicit Jump Systems With Mixed Retarded Delays Based on Reciprocally Convex Integral Inequality and Barbalat’s Lemma
4. Stochastic Synchronization of Markovian Jump Neural Networks With Time-Varying Delay Using Sampled Data
5. Stability analysis for delayed neural networks based on the augmented Lyapunov-Krasovskii functional with delay-product-type and multiple integral terms
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