Distributed Non-Fragile State Estimation for discrete nonlinear systems with parameter uncertainties

Mapping Intimacies ◽

10.23919/ccc52363.2021.9549695 ◽

2021 ◽

Author(s):

Ping Xu ◽

Huaiyu Wu ◽

Xiujuan Zheng

Keyword(s):

Nonlinear Systems ◽

State Estimation ◽

Parameter Uncertainties ◽

Fragile State ◽

Discrete Nonlinear Systems

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State estimation for a class of discrete nonlinear systems with randomly occurring uncertainties and distributed sensor delays

International Journal of General Systems ◽

10.1080/03081079.2014.892251 ◽

2014 ◽

Vol 43 (3-4) ◽

pp. 387-401 ◽

Author(s):

Jun Hu ◽

Dongyan Chen ◽

Junhua Du

Keyword(s):

Nonlinear Systems ◽

State Estimation ◽

Distributed Sensor ◽

Randomly Occurring Uncertainties ◽

Discrete Nonlinear Systems

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Sensor Fault Detection Based on State Estimation Observer in Discrete Nonlinear Systems

2018 International Conference on Control, Automation and Information Sciences (ICCAIS) ◽

10.1109/iccais.2018.8570340 ◽

2018 ◽

Author(s):

Xiangyi Jia ◽

Qianshuai Cheng ◽

Yandong Hou

Keyword(s):

Nonlinear Systems ◽

Fault Detection ◽

State Estimation ◽

Sensor Fault ◽

Sensor Fault Detection ◽

Discrete Nonlinear Systems

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Robust Reduced-Order Compensation of Some Discrete Nonlinear Systems

1991 American Control Conference ◽

10.23919/acc.1991.4791429 ◽

1991 ◽

Author(s):

Engin Yaz

Keyword(s):

Nonlinear Systems ◽

Reduced Order ◽

Discrete Nonlinear Systems

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Remote State Estimation for Nonlinear Systems via a Fading Channel: A Risk-sensitive Approach

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2021.3052563 ◽

2021 ◽

pp. 1-10

Author(s):

Yuan-Cheng Sun ◽

Guang-Hong Yang

Keyword(s):

Nonlinear Systems ◽

State Estimation ◽

Fading Channel ◽

Risk Sensitive ◽

Remote State Estimation

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Data-Driven Tracking Control Based on LM and PID Neural Network with Relay Feedback for Discrete Nonlinear Systems

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2020.3032872 ◽

2020 ◽

pp. 1-1

Author(s):

Jun Hao ◽

Guoshan Zhang ◽

Wanquan Liu ◽

Yuqing Zheng ◽

Ling Ren

Keyword(s):

Neural Network ◽

Nonlinear Systems ◽

Tracking Control ◽

Data Driven ◽

Relay Feedback ◽

Discrete Nonlinear Systems ◽

Pid Neural Network

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On stability in local controllability problems for discrete nonlinear systems*

Optimization ◽

10.1080/02331939408843944 ◽

1994 ◽

Vol 29 (2) ◽

pp. 157-172 ◽

Author(s):

H.D. Tuan

Keyword(s):

Nonlinear Systems ◽

Local Controllability ◽

Discrete Nonlinear Systems ◽

Controllability Problems

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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 ◽

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On Unscented Kalman Filtering for State Estimation of Continuous-Time Nonlinear Systems

IEEE Transactions on Automatic Control ◽

10.1109/tac.2007.904453 ◽

2007 ◽

Vol 52 (9) ◽

pp. 1631-1641 ◽

Author(s):

Simo Sarkka

Keyword(s):

Nonlinear Systems ◽

State Estimation ◽

Kalman Filtering ◽

Continuous Time

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On the genericity of the observability of uncontrolled discrete nonlinear systems

2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601) ◽

10.1109/cdc.2004.1430200 ◽

2004 ◽

Author(s):

J.C. Vivalda

Keyword(s):

Nonlinear Systems ◽

Discrete Nonlinear Systems

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Non-fragile state estimation for memristive cellular neural networks with proportional delay

Mathematics and Computers in Simulation ◽

10.1016/j.matcom.2021.10.009 ◽

2021 ◽

Author(s):

A. Karnan ◽

G. Nagamani

Keyword(s):

Neural Networks ◽

State Estimation ◽

Cellular Neural Networks ◽

Proportional Delay ◽

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