Global exponential stability of Markovian jumping stochastic impulsive uncertain BAM neural networks with leakage, mixed time delays, and α-inverse Hölder activation functions

Global exponential stability of Markovian jumping stochastic impulsive uncertain BAM neural networks with leakage, mixed time delays, and α-inverse Hölder activation functions

Abstract This paper concerns the problem of enhanced results on robust finite time passivity for uncertain discrete time Markovian jumping BAM delayed neural networks with leakage delay. By implementing a proper Lyapunov–Krasovskii functional candidate, reciprocally convex combination method, and li...

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Bibliographic Details
Main Authors: C. Maharajan, R. Raja, Jinde Cao, G. Ravi, G. Rajchakit
Format: Article
Language:English
Published: SpringerOpen 2018-03-01
Series:Advances in Difference Equations
Subjects:
LMIs
Markovian jumping systems
Leakage delay
Bidirectional associative memory
Discrete time neural networks
Passivity and stability analysis
Online Access:http://link.springer.com/article/10.1186/s13662-018-1553-7

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http://link.springer.com/article/10.1186/s13662-018-1553-7

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