Stochastic system identification with noisy input using cumulant statistics

J.K. Tugnait

doi:10.1109/9.126580

Stochastic system identification with noisy input using cumulant statistics

IEEE Transactions on Automatic Control ◽

10.1109/9.126580 ◽

1992 ◽

Vol 37 (4) ◽

pp. 476-485 ◽

Cited By ~ 64

Author(s):

J.K. Tugnait

Keyword(s):

System Identification ◽

Stochastic System ◽

Noisy Input

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An efficient algorithm for stochastic system identification with noisy input

Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304) ◽

10.1109/cdc.1999.827921 ◽

2003 ◽

Author(s):

Wei Xing Zheng

Keyword(s):

System Identification ◽

Stochastic System ◽

Efficient Algorithm ◽

Noisy Input

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Techniques in Stochastic System Identification with Noisy Input & Output System Measurements

Control and Dynamic Systems - Techniques in Discrete-Time Stochastic Control Systems ◽

10.1016/s0090-5267(05)80004-0 ◽

1995 ◽

pp. 41-88 ◽

Cited By ~ 2

Author(s):

Jitendra K. Tugnait

Keyword(s):

System Identification ◽

Stochastic System ◽

Input Output ◽

Noisy Input ◽

Output System

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Stochastic system identification with noisy input-output measurements using polyspectra

IEEE Transactions on Automatic Control ◽

10.1109/9.376110 ◽

1995 ◽

Vol 40 (4) ◽

pp. 670-683 ◽

Cited By ~ 43

Author(s):

J.K. Tugnait ◽

Yisong Ye

Keyword(s):

System Identification ◽

Stochastic System ◽

Input Output ◽

Noisy Input

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Stochastic system identification with noisy input using cumulant statistics

10.1109/cdc.1990.203768 ◽

1990 ◽

Cited By ~ 4

Author(s):

J.K. Tugnait

Keyword(s):

System Identification ◽

Stochastic System ◽

Noisy Input

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Stochastic system identification with noisy input-output measurements using polyspectra

Proceedings of 1994 33rd IEEE Conference on Decision and Control ◽

10.1109/cdc.1994.411367 ◽

2002 ◽

Author(s):

J.K. Tugnait ◽

Yisong Ye

Keyword(s):

System Identification ◽

Stochastic System ◽

Input Output ◽

Noisy Input

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Stochastic system identification with noisy input-output measurements

[1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers ◽

10.1109/acssc.1992.269097 ◽

2003 ◽

Cited By ~ 1

Author(s):

J.K. Tugnait ◽

Y. Ye

Keyword(s):

System Identification ◽

Stochastic System ◽

Input Output ◽

Noisy Input

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Thermo-mechanical characterization of polypyrrole compliance using stochastic system identification

10.1109/iembs.2009.5334477 ◽

2009 ◽

Author(s):

P.V. Pillai ◽

I.W. Hunter

Keyword(s):

System Identification ◽

Stochastic System ◽

Mechanical Characterization

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Second-Order Volterra System Identification With Noisy Input–Output Measurements

IEEE Signal Processing Letters ◽

10.1109/lsp.2008.2008478 ◽

2009 ◽

Vol 16 (1) ◽

pp. 18-21 ◽

Cited By ~ 7

Author(s):

U. Ozertem ◽

D. Erdogmus

Keyword(s):

System Identification ◽

Second Order ◽

Input Output ◽

Volterra System ◽

Noisy Input

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Finite Dimensional Linear Stochastic System Identification

Mathematical System Theory ◽

10.1007/978-3-662-08546-2_22 ◽

1991 ◽

pp. 389-422

Author(s):

P. E. Caines

Keyword(s):

System Identification ◽

Stochastic System ◽

Finite Dimensional ◽

Linear Stochastic System

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Stochastic system transformation using generalized orthonormal basis functions with applications to continuous-time system identification

Automatica ◽

10.1016/j.automatica.2011.01.059 ◽

2011 ◽

Vol 47 (5) ◽

pp. 1001-1006 ◽

Cited By ~ 8

Author(s):

Yoshito Ohta

Keyword(s):

System Identification ◽

Stochastic System ◽

Continuous Time ◽

Orthonormal Basis ◽

Basis Functions ◽

System Transformation ◽

Time System ◽

Continuous Time System

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