Genetic Algorithm Filter for Non-Linear State Space Estimation.

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C ◽

10.1299/kikaic.65.4329 ◽

1999 ◽

Vol 65 (639) ◽

pp. 4329-4334

Author(s):

Akiko AMAYA ◽

Kenji AMAYA

Keyword(s):

Genetic Algorithm ◽

State Space ◽

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Improvement in Recovery of Hemodynamic Responses by Extended Kalman Filter With Non-Linear State-Space Model and Short Separation Measurement

IEEE Transactions on Biomedical Engineering ◽

10.1109/tbme.2018.2884169 ◽

2019 ◽

Vol 66 (8) ◽

pp. 2152-2162 ◽

Author(s):

Sunghee Dong ◽

Jichai Jeong

Keyword(s):

Kalman Filter ◽

State Space ◽

Extended Kalman Filter ◽

State Space Model ◽

Hemodynamic Responses ◽

Space Model ◽

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Duomode non-linear state space averaged SPICE model of a current mode buck converter

10.1109/apec.1988.10550 ◽

2003 ◽

Author(s):

J.E. Chen ◽

F.D. Rodriguez

Keyword(s):

State Space ◽

Current Mode ◽

Buck Converter ◽

Spice Model ◽

Linear State ◽

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Fetal heart beat detection by Hilbert transform and non-linear state-space projections

IET Science Measurement & Technology ◽

10.1049/iet-smt.2013.0223 ◽

2015 ◽

Vol 9 (1) ◽

pp. 85-92 ◽

Author(s):

Zheng Wei ◽

Wei Xueyun ◽

Zhong Jian Jian ◽

Liu Hongxing

Keyword(s):

State Space ◽

Hilbert Transform ◽

Fetal Heart ◽

Beat Detection ◽

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Non-linear state space models with partially specified distributions on states

Journal of Forecasting ◽

10.1002/for.3980090206 ◽

1990 ◽

Vol 9 (2) ◽

pp. 137-149 ◽

Author(s):

J. Q. Smith

Keyword(s):

State Space ◽

State Space Models ◽

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Bayesian identification of non-linear state-space models: Part I- Input design

IFAC Proceedings Volumes ◽

10.3182/20131218-3-in-2045.00105 ◽

2013 ◽

Vol 46 (32) ◽

pp. 774-779 ◽

Author(s):

Aditya Tulsyan ◽

Swanand R Khare ◽

Biao Huang ◽

R. Bhushan Gopaluni ◽

J. Fraser Forbes

Keyword(s):

State Space ◽

State Space Models ◽

Bayesian Identification ◽

Input Design ◽

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Bias compensation-based parameter and state estimation for a class of time-delay non-linear state-space models

IET Control Theory and Applications ◽

10.1049/iet-cta.2020.0104 ◽

2020 ◽

Vol 14 (15) ◽

pp. 2176-2185 ◽

Author(s):

Ya Gu ◽

Quanmin Zhu ◽

Hassan Nouri

Keyword(s):

State Estimation ◽

State Space ◽

State Space Models ◽

Linear State ◽

Bias Compensation

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Combined state and multi-innovation parameter estimation for an input non-linear state-space system using the key term separation

IET Control Theory and Applications ◽

10.1049/iet-cta.2015.1056 ◽

2016 ◽

Vol 10 (13) ◽

pp. 1503-1512 ◽

Author(s):

Xuehai Wang ◽

Ahmed Alsaedi ◽

Feng Ding ◽

Tasawar Hayat

Keyword(s):

Parameter Estimation ◽

State Space ◽

Space System ◽

State Space System ◽

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Fractional Hammerstein system identification using polynomial non-linear state space model

2015 3rd International Conference on Control, Engineering & Information Technology (CEIT) ◽

10.1109/ceit.2015.7232994 ◽

2015 ◽

Author(s):

Karima Hammar ◽

Tounsia Djamah ◽

Maamar Bettayeb

Keyword(s):

System Identification ◽

State Space ◽

State Space Model ◽

Hammerstein System ◽

Space Model ◽

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Recursive prediction error identification and scaling of non-linear state space models using a restricted black box parameterization

10.1016/j.automatica.2005.08.017 ◽

2006 ◽

Vol 42 (1) ◽

pp. 159-168 ◽

Author(s):

Torbjörn Wigren

Keyword(s):

State Space ◽

Prediction Error ◽

Black Box ◽

State Space Models ◽

Error Identification ◽

Linear State ◽

Recursive Prediction

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A non-linear state space approach to model groundwater fluctuations

Advances in Water Resources ◽

10.1016/j.advwatres.2005.08.009 ◽

2006 ◽

Vol 29 (7) ◽

pp. 959-973 ◽

Author(s):

W.L. Berendrecht ◽

A.W. Heemink ◽

F.C. van Geer ◽

J.C. Gehrels

Keyword(s):

State Space ◽

State Space Approach ◽

Groundwater Fluctuations ◽

Linear State ◽

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