Dissipative criteria for Takagi–Sugeno fuzzy Markovian jumping neural networks with impulsive perturbations using delay partitioning approach

Dissipative criteria for Takagi–Sugeno fuzzy Markovian jumping neural networks with impulsive perturbations using delay partitioning approach

Abstract In this work, we investigate the result of dissipative analysis for Takagi–Sugeno fuzzy Markovian jumping neural networks with impulsive perturbations via delay partition approach. By using the Lyapunov–Krasovskii functional and delay partition approach, we derive a set of delay-dependent s...

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Bibliographic Details
Main Authors: V. J. Nirmala, T. Saravanakumar, Quanxin Zhu
Format: Article
Language:English
Published: SpringerOpen 2019-04-01
Series:Advances in Difference Equations
Subjects:
Dissipativity
Markovian jumping neural network
Impulses
Lyapunov–Krasovskii functional
Linear matrix inequality
Online Access:http://link.springer.com/article/10.1186/s13662-019-2085-5

Internet

http://link.springer.com/article/10.1186/s13662-019-2085-5

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