Nonlinear system identification based on Takagi-Sugeno fuzzy modeling and unscented Kalman filter

ISA Transactions ◽

10.1016/j.isatra.2018.02.005 ◽

2018 ◽

Vol 74 ◽

pp. 134-143 ◽

Cited By ~ 22

Author(s):

Navid Vafamand ◽

Mohammad Mehdi Arefi ◽

Alireza Khayatian

Keyword(s):

Kalman Filter ◽

System Identification ◽

Nonlinear System ◽

Unscented Kalman Filter ◽

Nonlinear System Identification ◽

Fuzzy Modeling ◽

Takagi Sugeno

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Global Gravitational Search Algorithm-Aided Kalman Filter Design for Volterra-Based Nonlinear System Identification

Circuits Systems and Signal Processing ◽

10.1007/s00034-020-01593-6 ◽

2020 ◽

Author(s):

Lakshminarayana Janjanam ◽

Suman Kumar Saha ◽

Rajib Kar ◽

Durbadal Mandal

Keyword(s):

Kalman Filter ◽

System Identification ◽

Nonlinear System ◽

Filter Design ◽

Search Algorithm ◽

Nonlinear System Identification ◽

Gravitational Search Algorithm ◽

Gravitational Search

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Extended Kalman filter based nonlinear system identification described in terms of Kronecker product

AEU - International Journal of Electronics and Communications ◽

10.1016/j.aeue.2019.05.033 ◽

2019 ◽

Vol 108 ◽

pp. 107-117 ◽

Cited By ~ 1

Author(s):

Rahul Bansal ◽

Sudipta Majumdar ◽

Harish Parthasarathy

Keyword(s):

Kalman Filter ◽

System Identification ◽

Nonlinear System ◽

Extended Kalman Filter ◽

Kronecker Product ◽

Nonlinear System Identification

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Extended Kalman Filter Trained Recurrent Radial Basis Function Network in Nonlinear System Identification

Artificial Neural Networks — ICANN 2002 - Lecture Notes in Computer Science ◽

10.1007/3-540-46084-5_133 ◽

2002 ◽

pp. 819-824 ◽

Cited By ~ 6

Author(s):

Branimir Todorović ◽

Miomir Stanković ◽

Claudio Moraga

Keyword(s):

Kalman Filter ◽

System Identification ◽

Nonlinear System ◽

Radial Basis Function ◽

Extended Kalman Filter ◽

Basis Function ◽

Radial Basis Function Network ◽

Nonlinear System Identification ◽

Radial Basis ◽

Function Network

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A new evolving compact optimised Takagi–Sugeno fuzzy model and its application to nonlinear system identification

International Journal of Systems Science ◽

10.1080/00207721.2010.523798 ◽

2012 ◽

Vol 43 (4) ◽

pp. 776-785 ◽

Cited By ~ 14

Author(s):

M. Askari ◽

A.H.D. Markazi

Keyword(s):

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Fuzzy Model ◽

Takagi Sugeno

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Nonlinear system identification using Takagi-Sugeno type neuro-fuzzy model

2004 2nd International IEEE Conference on 'Intelligent Systems'. Proceedings (IEEE Cat. No.04EX791) ◽

10.1109/is.2004.1344640 ◽

2004 ◽

Cited By ~ 7

Author(s):

P.C. Panchariya ◽

A.K. Palit ◽

D. Popovic ◽

A.L. Sharrna

Keyword(s):

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Fuzzy Model ◽

Neuro Fuzzy ◽

Takagi Sugeno

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Nonlinear system identification with recurrent neural networks and dead-zone Kalman filter algorithm

Neurocomputing ◽

10.1016/j.neucom.2006.09.004 ◽

2007 ◽

Vol 70 (13-15) ◽

pp. 2460-2466 ◽

Cited By ~ 68

Author(s):

José de Jesús Rubio ◽

Wen Yu

Keyword(s):

Neural Networks ◽

Kalman Filter ◽

System Identification ◽

Nonlinear System ◽

Recurrent Neural Networks ◽

Dead Zone ◽

Nonlinear System Identification ◽

Kalman Filter Algorithm

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Takagi–Sugeno Fuzzy Hopfield Neural Networks for $${\mathcal{H}_{\infty}}$$ Nonlinear System Identification

Neural Processing Letters ◽

10.1007/s11063-011-9183-z ◽

2011 ◽

Vol 34 (1) ◽

pp. 59-70 ◽

Cited By ~ 22

Author(s):

Choon Ki Ahn

Keyword(s):

Neural Networks ◽

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Hopfield Neural Networks ◽

Takagi Sugeno

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Application of evolving Takagi–Sugeno fuzzy model to nonlinear system identification

Applied Soft Computing ◽

10.1016/j.asoc.2007.05.006 ◽

2008 ◽

Vol 8 (1) ◽

pp. 676-686 ◽

Cited By ~ 87

Author(s):

Haiping Du ◽

Nong Zhang

Keyword(s):

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Fuzzy Model ◽

Takagi Sugeno

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Nonlinear system identification on shallow foundation using Extended Kalman Filter

Soil Dynamics and Earthquake Engineering ◽

10.1016/j.soildyn.2019.105857 ◽

2020 ◽

Vol 128 ◽

pp. 105857

Author(s):

Dong-Kwan Kim ◽

Hong-Gun Park ◽

Dong-Soo Kim ◽

Hyerin Lee

Keyword(s):

Kalman Filter ◽

System Identification ◽

Nonlinear System ◽

Extended Kalman Filter ◽

Nonlinear System Identification ◽

Shallow Foundation

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Nonlinear system identification based on evolutionary fuzzy modeling

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) ◽

10.1109/cec.2004.1330919 ◽

2004 ◽

Cited By ~ 3

Author(s):

T. Hatanaka ◽

Y. Kawaguchi ◽

K. Uosaki

Keyword(s):

System Identification ◽

Nonlinear System ◽

Nonlinear System Identification ◽

Fuzzy Modeling

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