Decentralised event-triggered impulsive synchronisation for semi-Markovian jump delayed neural networks with leakage delay and randomly occurring uncertainties

International Journal of Systems Science ◽

10.1080/00207721.2019.1622812 ◽

2019 ◽

Vol 50 (8) ◽

pp. 1636-1660 ◽

Author(s):

M. Syed Ali ◽

R. Vadivel ◽

O. M. Kwon

Keyword(s):

Neural Networks ◽

Leakage Delay ◽

Markovian Jump ◽

Delayed Neural Networks ◽

Randomly Occurring Uncertainties ◽

Event Triggered

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Event-triggered control for networked nonlinear semi-Markovian jump systems with randomly occurring uncertainties and transmission delay

Information Sciences ◽

10.1016/j.ins.2019.03.014 ◽

2019 ◽

Vol 487 ◽

pp. 84-96 ◽

Author(s):

Xihui Wu ◽

Xiaowu Mu

Keyword(s):

Transmission Delay ◽

Markovian Jump Systems ◽

Markovian Jump ◽

Randomly Occurring Uncertainties ◽

Jump Systems ◽

Event Triggered

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Stability of Inertial Delayed Neural Networks Via Event-Triggered Impulsive Control

10.1109/icnc52316.2021.9608314 ◽

2021 ◽

Author(s):

Nan Hong ◽

Wei Zhang ◽

Tianguang Zhang

Keyword(s):

Neural Networks ◽

Impulsive Control ◽

Delayed Neural Networks ◽

Event Triggered

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Event-triggered dissipative synchronization for Markovian jump neural networks with general transition probabilities

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.4110 ◽

2018 ◽

Vol 28 (13) ◽

pp. 3893-3908 ◽

Author(s):

Yajuan Liu ◽

Ju H. Park ◽

Bao-Zhu Guo ◽

Fang Fang ◽

Funa Zhou

Keyword(s):

Neural Networks ◽

Transition Probabilities ◽

Markovian Jump ◽

Event Triggered ◽

Markovian Jump Neural Networks

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Adaptive event-triggered H∞ filtering for discrete-time delayed neural networks with randomly occurring missing measurements

Signal Processing ◽

10.1016/j.sigpro.2018.07.027 ◽

2018 ◽

Vol 153 ◽

pp. 221-230 ◽

Author(s):

Huijiao Wang ◽

Anke Xue

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Missing Measurements ◽

Delayed Neural Networks ◽

Event Triggered

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Finite-Time H∞ Estimator Design for Switched Discrete-Time Delayed Neural Networks With Event-Triggered Strategy

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.2992518 ◽

2020 ◽

pp. 1-13

Author(s):

Hong Sang ◽

Jun Zhao

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Finite Time ◽

Delayed Neural Networks ◽

Estimator Design ◽

Event Triggered

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Further results on dissipativity analysis for Markovian jump neural networks with randomly occurring uncertainties and leakage delays

Neural Computing and Applications ◽

10.1007/s00521-017-2942-7 ◽

2017 ◽

Vol 30 (11) ◽

pp. 3565-3579 ◽

Author(s):

T. Radhika ◽

G. Nagamani ◽

Quanxin Zhu ◽

S. Ramasamy ◽

R. Saravanakumar

Keyword(s):

Neural Networks ◽

Markovian Jump ◽

Leakage Delays ◽

Randomly Occurring Uncertainties ◽

Dissipativity Analysis ◽

Markovian Jump Neural Networks

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Stochastic stability analysis for delayed neural networks of neutral type with Markovian jump parameters

Chaos Solitons & Fractals ◽

10.1016/j.chaos.2007.06.114 ◽

2009 ◽

Vol 39 (5) ◽

pp. 2188-2197 ◽

Author(s):

Xuyang Lou ◽

Baotong Cui

Keyword(s):

Neural Networks ◽

Stability Analysis ◽

Stochastic Stability ◽

Neutral Type ◽

Markovian Jump ◽

Delayed Neural Networks ◽

Markovian Jump Parameters ◽

Stochastic Stability Analysis

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Finite-time resilient H∞ state estimation for discrete-time delayed neural networks under dynamic event-triggered mechanism

Neural Networks ◽

10.1016/j.neunet.2019.09.006 ◽

2020 ◽

Vol 121 ◽

pp. 356-365 ◽

Author(s):

Yufei Liu ◽

Bo Shen ◽

Huisheng Shu

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Finite Time ◽

Delayed Neural Networks ◽

Dynamic Event ◽

Event Triggered

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Event-triggered H∞ anti-synchronisation for delayed neural networks with discontinuous neuron activations via non-fragile control strategy

Connection Science ◽

10.1080/09540091.2019.1604628 ◽

2019 ◽

Vol 31 (4) ◽

pp. 373-429 ◽

Author(s):

Min Liu ◽

Huaiqin Wu ◽

Jinde Cao ◽

Yanning Wang

Keyword(s):

Neural Networks ◽

Control Strategy ◽

Delayed Neural Networks ◽

Discontinuous Neuron Activations ◽

Event Triggered

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Event‐triggered H control for Markov jump delayed neural networks with redundant channels

Optimal Control Applications and Methods ◽

10.1002/oca.2851 ◽

2022 ◽

Author(s):

Yao Xu ◽

Hongqian Lu ◽

Xingxing Song ◽

Wuneng Zhou

Keyword(s):

Neural Networks ◽

Markov Jump ◽

Delayed Neural Networks ◽

Event Triggered

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