Robust FIR Filters for Linear Continuous-time State Space Models with Uncertainties

2007 Chinese Control Conference ◽

10.1109/chicc.2006.4347591 ◽

2006 ◽

Author(s):

Quan Zhonghua ◽

Han Soohee ◽

Kwon Wook Hyun

Keyword(s):

State Space ◽

Continuous Time ◽

State Space Models ◽

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Robust FIR Filters for Linear Continuous-Time State-Space Models With Uncertainties

IEEE Signal Processing Letters ◽

10.1109/lsp.2008.2004515 ◽

2008 ◽

Vol 15 ◽

pp. 621-624 ◽

Author(s):

Zhonghua Quan ◽

Soohee Han ◽

Jung Hun Park ◽

Wook Hyun Kwon

Keyword(s):

State Space ◽

Continuous Time ◽

State Space Models ◽

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Best Linear Unbiased Fir Filters For Continuous-Time State Space Models

Asian Journal of Control ◽

10.1111/j.1934-6093.2001.tb00036.x ◽

2008 ◽

Vol 3 (1) ◽

pp. 1-9 ◽

Author(s):

Wook Hyun Kwon ◽

Pyung Soo Kim ◽

Soo Hee Han

Keyword(s):

State Space ◽

Continuous Time ◽

State Space Models ◽

Fir Filters ◽

Best Linear Unbiased

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Receding-horizon unbiased FIR filters for continuous-time state-space models without a priori initial state information

IEEE Transactions on Automatic Control ◽

10.1109/9.920798 ◽

2001 ◽

Vol 46 (5) ◽

pp. 766-770 ◽

Author(s):

Soo Hee Han ◽

Wook Hyun Kwon ◽

Pyung Soo Kim

Keyword(s):

State Space ◽

Continuous Time ◽

A Priori ◽

State Space Models ◽

Fir Filters ◽

Receding Horizon ◽

Initial State ◽

State Information

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FIR filters and recursive forms for continuous time-invariant state-space models

IEEE Transactions on Automatic Control ◽

10.1109/tac.1987.1104606 ◽

1987 ◽

Vol 32 (4) ◽

pp. 352-356 ◽

Author(s):

Wook Kwon ◽

Oh Kwon

Keyword(s):

State Space ◽

Continuous Time ◽

State Space Models ◽

Fir Filters ◽

Invariant State ◽

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Quasi-maximum likelihood estimation for cointegrated continuous-time linear state space models observed at low frequencies

Electronic Journal of Statistics ◽

10.1214/19-ejs1636 ◽

2019 ◽

Vol 13 (2) ◽

pp. 5151-5212 ◽

Author(s):

Vicky Fasen-Hartmann ◽

Markus Scholz

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

State Space ◽

Continuous Time ◽

Likelihood Estimation ◽

State Space Models ◽

Low Frequencies ◽

Quasi Maximum Likelihood ◽

Linear State ◽

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Nuclear Norm Subspace Identification Of Continuous Time State-Space Models

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.05.089 ◽

2018 ◽

Vol 51 (1) ◽

pp. 530-535 ◽

Author(s):

Santhosh Kumar Varanasi ◽

Phanindra Jampana

Keyword(s):

State Space ◽

Continuous Time ◽

State Space Models ◽

Nuclear Norm ◽

Subspace Identification

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Minimax FIR smoothers for deterministic continuous-time state space models

10.1016/j.automatica.2009.02.022 ◽

2009 ◽

Vol 45 (6) ◽

pp. 1561-1566 ◽

Author(s):

Soohee Han ◽

Bo Kyu Kwon ◽

Wook Hyun Kwon

Keyword(s):

State Space ◽

Continuous Time ◽

State Space Models

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GMV control of non-linear continuous-time systems including common delays and state-space models

International Journal of Control ◽

10.1080/00207170600965497 ◽

2007 ◽

Vol 80 (1) ◽

pp. 150-165 ◽

Author(s):

M. J. Grimble

Keyword(s):

State Space ◽

Continuous Time ◽

State Space Models ◽

Continuous Time Systems ◽

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Minimax L 2 -E 2 FIR filters for deterministic continuous-time state space signal models

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)34894-2 ◽

2003 ◽

Vol 36 (16) ◽

pp. 1029-1034

Author(s):

Soo Hee Han ◽

Wook Hyun Kwon

Keyword(s):

State Space ◽

Continuous Time ◽

Fir Filters ◽

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Multivariate CARMA processes, continuous-time state space models and complete regularity of the innovations of the sampled processes

Bernoulli ◽

10.3150/10-bej329 ◽

2012 ◽

Vol 18 (1) ◽

pp. 46-63 ◽

Author(s):

Eckhard Schlemm ◽

Robert Stelzer

Keyword(s):

State Space ◽

Continuous Time ◽

State Space Models ◽

Complete Regularity

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