Finite-time event-triggered non-fragile state estimation for discrete-time delayed neural networks with randomly occurring sensor nonlinearity and energy constraints

Neurocomputing ◽

10.1016/j.neucom.2019.12.038 ◽

2020 ◽

Vol 384 ◽

pp. 115-129 ◽

Author(s):

Yamin Wang ◽

Arunkumar Arumugam ◽

Yurong Liu ◽

Fuad E. Alsaadi

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Finite Time ◽

Fragile State ◽

Delayed Neural Networks ◽

Energy Constraints ◽

Event Triggered

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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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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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Delay-distribution-dependent non-fragile state estimation for discrete-time neural networks under event-triggered mechanism

Neural Computing and Applications ◽

10.1007/s00521-018-3516-z ◽

2018 ◽

Vol 31 (11) ◽

pp. 7245-7256

Author(s):

Yajing Yu ◽

Hongli Dong ◽

Zidong Wang ◽

Jiahui Li

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Fragile State ◽

Delay Distribution ◽

Event Triggered

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Event-triggered non-fragile state estimation for delayed neural networks with randomly occurring sensor nonlinearity

Neurocomputing ◽

10.1016/j.neucom.2017.08.011 ◽

2018 ◽

Vol 273 ◽

pp. 1-8 ◽

Author(s):

Lijuan Zha ◽

Jian-an Fang ◽

Jinliang Liu ◽

Engang Tian

Keyword(s):

Neural Networks ◽

State Estimation ◽

Fragile State ◽

Delayed Neural Networks ◽

Event Triggered

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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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Dissipative State Estimation for Delayed Discrete-Time Memristive Neural Networks Under Dynamic Event-Triggered Mechanisms and Deception Attacks

10.1109/icnc52316.2021.9607893 ◽

2021 ◽

Author(s):

Huimin Tao ◽

Hongjian Liu ◽

Jiali Zhu ◽

Hailong Tan

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Memristive Neural Networks ◽

Dynamic Event ◽

Event Triggered ◽

Dissipative State

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Event-triggered Non-fragile State Estimation for Discrete Nonlinear Markov Jump Neural Networks with Sensor Failures

International Journal of Control Automation and Systems ◽

10.1007/s12555-018-0505-z ◽

2019 ◽

Vol 17 (5) ◽

pp. 1131-1140 ◽

Author(s):

Jianning Li ◽

Zhujian Li ◽

Yufei Xu ◽

Kaiyang Gu ◽

Wendong Bao ◽

...

Keyword(s):

Neural Networks ◽

State Estimation ◽

Markov Jump ◽

Fragile State ◽

Sensor Failures ◽

Event Triggered

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Stochastic Finite-Time H∞ State Estimation for Discrete-Time Semi-Markovian Jump Neural Networks With Time-Varying Delays

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2020.2968074 ◽

2020 ◽

Vol 31 (12) ◽

pp. 5456-5467 ◽

Author(s):

Wen-Juan Lin ◽

Yong He ◽

Chuan-Ke Zhang ◽

Min Wu

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Finite Time ◽

Time Varying ◽

Markovian Jump ◽

Markovian Jump Neural Networks

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Event-Triggered $H_\infty$ State Estimation for Delayed Stochastic Memristive Neural Networks With Missing Measurements: The Discrete Time Case

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2017.2728639 ◽

2018 ◽

Vol 29 (8) ◽

pp. 3726-3737 ◽

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Memristive Neural Networks ◽

Missing Measurements ◽

Discrete Time Case ◽

Event Triggered

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Event-Triggered H∞ State Estimation for Delayed Stochastic Memristive Neural Networks with Missing Measurements: The Discrete Time Case

Stability Analysis and State Estimation of Memristive Neural Networks ◽

10.1201/9781003189152-3 ◽

2021 ◽

pp. 33-54

Author(s):

Hongjian Liu ◽

Zidong Wang ◽

Lifeng Ma

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Memristive Neural Networks ◽

Missing Measurements ◽

Discrete Time Case ◽

Event Triggered

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