A Particle Filter Approach to Robust State Estimation for a Class of Nonlinear Systems with Stochastic Parameter Uncertainty

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e94.a.1194 ◽

2011 ◽

Vol E94-A (5) ◽

pp. 1194-1200 ◽

Author(s):

Sehoon KIM ◽

Sangchul WON

Keyword(s):

Nonlinear Systems ◽

Particle Filter ◽

State Estimation ◽

Parameter Uncertainty ◽

Stochastic Parameter ◽

Filter Approach

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Particle filter approach to dynamic state estimation of generators in power systems

2016 IEEE Power and Energy Society General Meeting (PESGM) ◽

10.1109/pesgm.2016.7741239 ◽

2016 ◽

Author(s):

Kianoush Emami ◽

Tyrone Fernando ◽

Herbert Iu ◽

Hieu Trinh ◽

Kit Po Wong

Keyword(s):

Power Systems ◽

Particle Filter ◽

State Estimation ◽

Dynamic State ◽

Dynamic State Estimation ◽

Filter Approach

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Particle Filter Approach to Fault Detection andIsolation in Nonlinear Systems

American Journal of Signal Processing ◽

10.5923/j.ajsp.20120203.02 ◽

2012 ◽

Vol 2 (3) ◽

pp. 46-51

Author(s):

F. Souibgui ◽

F. BenHmida ◽

A. Chaari

Keyword(s):

Nonlinear Systems ◽

Fault Detection ◽

Particle Filter ◽

Filter Approach

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Particle Filter Approach to Dynamic State Estimation of Generators in Power Systems

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2014.2366196 ◽

2015 ◽

Vol 30 (5) ◽

pp. 2665-2675 ◽

Author(s):

Kianoush Emami ◽

Tyrone Fernando ◽

Herbert Ho-Ching Iu ◽

Hieu Trinh ◽

Kit Po Wong

Keyword(s):

Power Systems ◽

Particle Filter ◽

State Estimation ◽

Dynamic State ◽

Dynamic State Estimation ◽

Filter Approach

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Particle filter approach to fault detection and isolation in nonlinear systems

Eighth International Multi-Conference on Systems, Signals & Devices ◽

10.1109/ssd.2011.5767499 ◽

2011 ◽

Author(s):

F Souibgui ◽

F BenHmida ◽

A Chaari

Keyword(s):

Nonlinear Systems ◽

Fault Detection ◽

Particle Filter ◽

Fault Detection And Isolation ◽

Filter Approach

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Distributed state estimation for large-scale nonlinear systems: A reduced order particle filter implementation

2012 IEEE Statistical Signal Processing Workshop (SSP) ◽

10.1109/ssp.2012.6319673 ◽

2012 ◽

Author(s):

Arash Mohammadi ◽

Amir Asif

Keyword(s):

Nonlinear Systems ◽

Particle Filter ◽

State Estimation ◽

Large Scale ◽

Reduced Order ◽

Distributed State Estimation

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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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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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A Mutated Particle Filter Technique for System State Estimation and Battery Life Prediction

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2014.2303534 ◽

2014 ◽

Vol 63 (8) ◽

pp. 2034-2043 ◽

Author(s):

De Z. Li ◽

Wilson Wang ◽

Fathy Ismail

Keyword(s):

Particle Filter ◽

State Estimation ◽

Life Prediction ◽

Battery Life ◽

System State ◽

Filter Technique

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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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A particle filter approach for tomographic imaging based on different state-space representations

Measurement Science and Technology ◽

10.1088/0957-0233/18/1/004 ◽

2006 ◽

Vol 18 (1) ◽

pp. 30-40 ◽

Author(s):

D Watzenig ◽

M Brandner ◽

G Steiner

Keyword(s):

Particle Filter ◽

State Space ◽

Tomographic Imaging ◽

Filter Approach

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