Robust partially mode-dependent H ∞ filtering for discrete-time nonhomogeneous Markovian jump neural networks with additive gain perturbations-Reference-Cited by-同舟云学术

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Robust partially mode-dependent H ∞ filtering for discrete-time nonhomogeneous Markovian jump neural networks with additive gain perturbations

Published:2018-12-03 Issue:3 Volume:42 Page:982-998
ISSN:0170-4214
Container-title:Mathematical Methods in the Applied Sciences
language:en
Short-container-title:Math Meth Appl Sci

Author:

Zheng Dandan¹,Hua Mingang¹^ORCID,Chen Junfeng¹,Bian Cunkang¹,Dai Weili¹

Affiliation:

1. College of Internet of Things Engineering; Hohai University; Changzhou China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Fundamental Research Funds for the Central Universities

Qing Lan Project

Publisher

Wiley

Subject

General Engineering,General Mathematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mma.5408/fullpdf

Reference54 articles.

1. An error passivation approach to filtering for switched neural networks with noise disturbance;Ahn;Neural Comput Appl,2012

2. Exponential input-to-state stability of stochastic cohengrossberg neural networks with mixed delays;Zhu;Nonlinear Dyn,2015

3. Passive and exponential filter design for fuzzy neural networks;Ahn;Inf Sci,2013

4. A delay-range-dependent approach to design state estimator for discrete-time recurrent neural networks with interval time-varying delay;Lu;IEEE Trans Circuits Syst II Express Briefs,2008

5. Extended dissipative state estimation for Markov jump neural networks with unreliable links;Shen;IEEE Trans Neural Networks Learn Syst,2017

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1. H∞ synchronization of Markov jump neural networks with MPDT switching transition probabilities under DoS attacks;Mathematical Methods in the Applied Sciences;2023-05-30

2. Two-Objective Filtering for Takagi–Sugeno Fuzzy Hopfield Neural Networks with Time-Variant Delay;Neural Processing Letters;2021-07-22

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