Exponential passivity conditions on neutral stochastic neural networks with leakage delay and partially unknown transition probabilities in Markovian jump

Exponential passivity conditions on neutral stochastic neural networks with leakage delay and partially unknown transition probabilities in Markovian jump

Abstract This paper studies the problem of exponential passivity for neutral stochastic neural networks (NSNN) with leakage delay and Markovian jump. The Markovian jump has partially unknown transition probabilities (PUTPs). By utilizing the Itô differential rule, choosing a suitable Lyapunov–Krasov...

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Bibliographic Details
Main Authors: Tao Wu, Jinde Cao, Lianglin Xiong, Bashir Ahmad
Format: Article
Language:English
Published: SpringerOpen 2018-09-01
Series:Advances in Difference Equations
Subjects:
Neutral stochastic neural networks
Partially unknown transition probabilities
Markovian jump
Exponential passivity criteria
Itô differential rule
Online Access:http://link.springer.com/article/10.1186/s13662-018-1732-6

Internet

http://link.springer.com/article/10.1186/s13662-018-1732-6

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