<mml:math altimg="si0001.gif" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd" xmlns:sa="http://www.elsevier.com/xml/common/struct-aff/dtd"><mml:mrow><mml:mi mathvariant="script">H</mml:mi></mml:mrow></mml:math>∞ state estimation for discrete-time delayed neural networks with randomly occurring quantizations and missing measurements

Advances in Intelligent Systems and Computing - Computational Intelligence, Cyber Security and Computational Models ◽

H ∞ State Estimation of Discrete Time Delayed Neural Networks with Multiple Missing Measurements Using Second Order Reciprocal Convex Approach

10.1007/978-981-10-0251-9_12 ◽

2015 ◽

pp. 109-119 ◽

Cited By ~ 1

Author(s):

K. Maheswari

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Second Order ◽

Missing Measurements ◽

Distributed reliable L2 — L∞ state estimation for discrete-time delayed neural networks with missing measurements

2016 12th World Congress on Intelligent Control and Automation (WCICA) ◽

10.1109/wcica.2016.7578562 ◽

2016 ◽

Author(s):

Hao Zhang ◽

Huaicheng Yan ◽

Mengling Wang ◽

Hongbo Shi

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Missing Measurements ◽

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 ◽

Cited By ~ 6

Author(s):

Huijiao Wang ◽

Anke Xue

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Missing Measurements ◽

Delayed Neural Networks ◽

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 ◽

Cited By ~ 49

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Memristive Neural Networks ◽

Missing Measurements ◽

Discrete Time Case ◽

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 ◽

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 ◽

Cited By ~ 18

Author(s):

Yufei Liu ◽

Bo Shen ◽

Huisheng Shu

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Finite Time ◽

Delayed Neural Networks ◽

Dynamic Event ◽

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 ◽

Cited By ~ 3

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 ◽

State estimation for discrete-time delayed neural networks with fractional uncertainties and sensor saturations

Neurocomputing ◽

10.1016/j.neucom.2013.01.039 ◽

2013 ◽

Vol 117 ◽

pp. 64-71 ◽

Cited By ~ 32

Author(s):

Xiu Kan ◽

Zidong Wang ◽

Huisheng Shu

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Guaranteed cost synchronization of discrete-time chaotic neural networks with missing measurements and randomly occurring sensor nonlinearity

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9188966 ◽

2020 ◽

Author(s):

Hao Zhang ◽

Tong Wang ◽

Qingshuang Zeng ◽

Jianbin Qiu

Keyword(s):

Neural Networks ◽

Discrete Time ◽

Missing Measurements ◽

Chaotic Neural Networks ◽

Guaranteed Cost