State Estimation for Semi-Markovian Switching CVNNs with Quantization Effects and Linear Fractional Uncertainties

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2021.05.035 ◽

2021 ◽

Author(s):

Qiang Li ◽

Jinling Liang ◽

Weiqiang Gong

Keyword(s):

State Estimation ◽

Markovian Switching

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Non-fragile asynchronous state estimation for Markovian switching CVNs with partly accessible mode detection: The discrete-time case

Applied Mathematics and Computation ◽

10.1016/j.amc.2021.126583 ◽

2022 ◽

Vol 412 ◽

pp. 126583

Author(s):

Qiang Li ◽

Jinling Liang

Keyword(s):

State Estimation ◽

Discrete Time ◽

Markovian Switching ◽

Mode Detection ◽

Asynchronous State ◽

Discrete Time Case

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Adaptive state estimation for stochastic delay systems with state-dependent Markovian switching

IET Control Theory and Applications ◽

10.1049/iet-cta.2011.0259 ◽

2012 ◽

Vol 6 (6) ◽

pp. 822 ◽

Author(s):

G. Wang ◽

Q. Zhang

Keyword(s):

State Estimation ◽

Markovian Switching ◽

Delay Systems ◽

Stochastic Delay ◽

State Dependent

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Smoothed state estimation for nonlinear Markovian switching systems

IEEE Transactions on Aerospace and Electronic Systems ◽

10.1109/taes.2008.4667711 ◽

2008 ◽

Vol 44 (4) ◽

pp. 1309-1325 ◽

Author(s):

Mark R. Morelande ◽

Branko Ristic

Keyword(s):

State Estimation ◽

Markovian Switching ◽

Switching Systems ◽

Markovian Switching Systems

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Almost sure state estimation for nonlinear stochastic systems with Markovian switching

Nonlinear Dynamics ◽

10.1007/s11071-013-1231-y ◽

2014 ◽

Vol 76 (2) ◽

pp. 1591-1602 ◽

Author(s):

Xiu Kan ◽

Huisheng Shu ◽

Zhenna Li

Keyword(s):

State Estimation ◽

Stochastic Systems ◽

Markovian Switching ◽

Nonlinear Stochastic Systems

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Non-fragile finite-timel2−l∞state estimation for discrete-time neural networks with semi-Markovian switching and random sensor delays based on Abel lemma approach

Nonlinear Analysis Hybrid Systems ◽

10.1016/j.nahs.2018.03.002 ◽

2018 ◽

Vol 29 ◽

pp. 283-302 ◽

Author(s):

R. Rakkiyappan ◽

K. Maheswari ◽

K. Sivaranjani ◽

Young Hoon Joo

Keyword(s):

Neural Networks ◽

State Estimation ◽

Discrete Time ◽

Markovian Switching

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Maximum Likelihood State Estimation of Semi-Markovian Switching System in Non-Gaussian Measurement Noise

IEEE Transactions on Aerospace and Electronic Systems ◽

10.1109/taes.2010.5417152 ◽

2010 ◽

Vol 46 (1) ◽

pp. 133-146 ◽

Author(s):

Dongliang Huang ◽

Henry Leung

Keyword(s):

Maximum Likelihood ◽

State Estimation ◽

Markovian Switching ◽

Measurement Noise ◽

Switching System ◽

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State Estimation for Robotics

10.1017/9781316671528 ◽

2017 ◽

Author(s):

Timothy D. Barfoot

Keyword(s):

State Estimation

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Discrete Inverse and State Estimation Problems

10.1017/cbo9780511535949 ◽

2006 ◽

Author(s):

Carl Wunsch

Keyword(s):

State Estimation ◽

Estimation Problems

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Robust state estimation in power systems using sparse linear programming

IEE Proceedings C Generation Transmission and Distribution ◽

10.1049/ip-c.1985.0025 ◽

1985 ◽

Vol 132 (3) ◽

pp. 123 ◽

Author(s):

B.C. Clewer ◽

M.R. Irving ◽

M.J.H. Sterling

Keyword(s):

Linear Programming ◽

Power Systems ◽

State Estimation

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Two-level state estimation for large power system. Part 1: Algorithms

IEE Proceedings C Generation Transmission and Distribution ◽

10.1049/ip-c.1988.0041 ◽

1988 ◽

Vol 135 (4) ◽

pp. 299 ◽

Author(s):

K.L. Lo ◽

M.M. Salem ◽

R.D. McColl ◽

A.M. Moffatt

Keyword(s):

Power System ◽

State Estimation ◽

Large Power ◽

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