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 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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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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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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Finite-horizon ${H_{\infty }}$ State Estimation for Discrete-Time Memristive Neural Networks with Time-Varying Delays and Fading Channels: A Dynamic Event-Triggered Approach

10.1109/icnc52316.2021.9608583 ◽

2021 ◽

Author(s):

Jiali Zhu ◽

Hongjian Liu ◽

Huimin Tao ◽

Hailong Tan

Keyword(s):

Neural Networks ◽

State Estimation ◽

Fading Channels ◽

Discrete Time ◽

Finite Horizon ◽

Time Varying ◽

Memristive Neural Networks ◽

Dynamic Event ◽

Event Triggered

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Resilient H∞ State Estimation for Discrete-Time Stochastic Delayed Memristive Neural Networks: A Dynamic Event-Triggered Mechanism

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.3021556 ◽

2020 ◽

pp. 1-10

Author(s):

Hongjian Liu ◽

Zidong Wang ◽

Weiyin Fei ◽

Jiahui Li

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Memristive Neural Networks ◽

Dynamic Event ◽

Event Triggered

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Resilient H∞ State Estimation for Discrete-Time Stochastic Delayed Memristive Neural Networks: A Dynamic Event-Triggered Mechanism

Stability Analysis and State Estimation of Memristive Neural Networks ◽

10.1201/9781003189152-9 ◽

2021 ◽

pp. 151-168

Author(s):

Hongjian Liu ◽

Zidong Wang ◽

Lifeng Ma

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Memristive Neural Networks ◽

Dynamic Event ◽

Event Triggered

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Dynamic Event-Triggered H∞ State Estimation of Time-Delayed Neural Networks with Stochastic Parameters and Measurement Outliers

10.23919/ccc52363.2021.9549327 ◽

2021 ◽

Author(s):

Yue Xu ◽

Kaige Chen ◽

Qi Li

Keyword(s):

Neural Networks ◽

State Estimation ◽

Delayed Neural Networks ◽

Dynamic Event ◽

Stochastic Parameters ◽

Estimation Of Time ◽

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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Finite-Time Fault Detection and $$H_\infty $$ State Estimation for Markov Jump Systems Under Dynamic Event-Triggered Mechanism

Developments in Advanced Control and Intelligent Automation for Complex Systems - Studies in Systems, Decision and Control ◽

10.1007/978-3-030-62147-6_4 ◽

2021 ◽

pp. 75-97

Author(s):

Xiongbo Wan ◽

Min Wu ◽

Zidong Wang

Keyword(s):

Fault Detection ◽

State Estimation ◽

Finite Time ◽

Markov Jump ◽

Markov Jump Systems ◽

Dynamic Event ◽

Jump Systems ◽

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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