Recursive state estimation for discrete-time nonlinear systems with event-triggered data transmission, norm-bounded uncertainties and multiple missing measurements

Xiujuan Zheng; Huajing Fang

doi:10.1002/rnc.3527

Recursive state estimation for discrete-time nonlinear systems with event-triggered data transmission, norm-bounded uncertainties and multiple missing measurements

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.3527 ◽

2016 ◽

Vol 26 (17) ◽

pp. 3673-3695 ◽

Cited By ~ 28

Author(s):

Xiujuan Zheng ◽

Huajing Fang

Keyword(s):

Nonlinear Systems ◽

State Estimation ◽

Discrete Time ◽

Data Transmission ◽

Missing Measurements ◽

Recursive State Estimation ◽

Bounded Uncertainties ◽

Norm Bounded Uncertainties ◽

Event Triggered

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Recursive state estimation for discrete time-varying stochastic nonlinear systems with randomly occurring deception attacks

International Journal of General Systems ◽

10.1080/03081079.2015.1106739 ◽

2016 ◽

Vol 45 (5) ◽

pp. 548-560 ◽

Cited By ~ 12

Author(s):

Derui Ding ◽

Yuxuan Shen ◽

Yan Song ◽

Yongxiong Wang

Keyword(s):

Nonlinear Systems ◽

State Estimation ◽

Discrete Time ◽

Stochastic Nonlinear Systems ◽

Time Varying ◽

Recursive State Estimation

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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 ◽

Cited By ~ 49

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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LMI-based event-triggered control of discrete-time piecewise affine systems with norm-bounded uncertainties

2020 Chinese Control And Decision Conference (CCDC) ◽

10.1109/ccdc49329.2020.9164148 ◽

2020 ◽

Author(s):

Yifei Ma ◽

Wei Wu ◽

Yonghao Jiang

Keyword(s):

Discrete Time ◽

Piecewise Affine Systems ◽

Affine Systems ◽

Piecewise Affine ◽

Bounded Uncertainties ◽

Norm Bounded Uncertainties ◽

Event Triggered

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Event-triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements

Automatica ◽

10.1016/j.automatica.2020.108908 ◽

2020 ◽

Vol 115 ◽

pp. 108908 ◽

Cited By ~ 8

Author(s):

Jun Hu ◽

Zidong Wang ◽

Guo-Ping Liu ◽

Chaoqing Jia ◽

Jonathan Williams

Keyword(s):

State Estimation ◽

Missing Measurements ◽

Dynamical Networks ◽

Switching Topologies ◽

Recursive State Estimation ◽

Event Triggered

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Event-triggered H∞ control for discrete-time piecewise affine systems with norm-bounded uncertainties

International Journal of Control ◽

10.1080/00207179.2020.1755056 ◽

2020 ◽

pp. 1-9

Author(s):

Yonghao Jiang ◽

Wei Wu ◽

Xuyang Lou ◽

Baotong Cui

Keyword(s):

Discrete Time ◽

Piecewise Affine Systems ◽

Affine Systems ◽

Piecewise Affine ◽

Bounded Uncertainties ◽

Norm Bounded Uncertainties ◽

Event Triggered

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Event-Triggered Optimal Parallel Tracking Control for Discrete-Time Nonlinear Systems

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2021.3073429 ◽

2021 ◽

pp. 1-13

Author(s):

Jingwei Lu ◽

Qinglai Wei ◽

Yujia Liu ◽

Tianmin Zhou ◽

Fei-Yue Wang

Keyword(s):

Nonlinear Systems ◽

Discrete Time ◽

Tracking Control ◽

Event Triggered

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Enhanced fuzzy state estimation of discrete‐time nonlinear systems via a multi‐instant united switch‐type observer

Optimal Control Applications and Methods ◽

10.1002/oca.2743 ◽

2021 ◽

Author(s):

Hongyu Lu ◽

Xiangpeng Xie ◽

Wei Liu

Keyword(s):

Nonlinear Systems ◽

State Estimation ◽

Discrete Time ◽

Switch Type ◽

Fuzzy State

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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 ◽

Cited By ~ 6

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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