Erratum to :  Difference between Equation Error Method (EEM) and Output Error Method (OEM) in System Identification

This paper presents an up to date advances in time-domain system identification using fractional models. Both equation-error- and output-error-based models are detailed. In the former models, prior knowledge is generally used to fix differentiation orders; model coefficients are estimated using least squares. The latter models allow simultaneous estimation of model coefficients and differentiation orders using nonlinear programing. As an example, a thermal system is identified using a fractional model and is compared to a rational one.

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Robust Recursive Output Error Method for Bilinear System Identification

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)54831-4 ◽

1988 ◽

Vol 21 (9) ◽

pp. 827-832

Author(s):

H. Dai ◽

N.K. Sinha

Keyword(s):

System Identification ◽

Bilinear System ◽

Output Error ◽

Error Method

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A robust off-line output error method for system identification

IEEE Transactions on Industrial Electronics ◽

10.1109/41.149746 ◽

1992 ◽

Vol 39 (4) ◽

pp. 285-292 ◽

Cited By ~ 4

Author(s):

H. Dai ◽

N.K. Sinha

Keyword(s):

System Identification ◽

Output Error ◽

Error Method

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Output Error Method for Tiltrotor Unstable in Hover

Archive of Mechanical Engineering ◽

10.1515/meceng-2017-0002 ◽

2017 ◽

Vol 64 (1) ◽

pp. 23-36 ◽

Cited By ~ 2

Author(s):

Piotr Lichota ◽

Joanna Szulczyk

Keyword(s):

System Identification ◽

Flight Test ◽

Model Parameters ◽

Output Error ◽

Control Derivatives ◽

Time Histories ◽

System Output ◽

The Time Domain ◽

And Control ◽

Error Method

Abstract This article investigates unstable tiltrotor in hover system identification from flight test data. The aircraft dynamics was described by a linear model defined in Body-Fixed-Coordinate System. Output Error Method was selected in order to obtain stability and control derivatives in lateral motion. For estimating model parameters both time and frequency domain formulations were applied. To improve the system identification performed in the time domain, a stabilization matrix was included for evaluating the states. In the end, estimates obtained from various Output Error Method formulations were compared in terms of parameters accuracy and time histories. Evaluations were performed in MATLAB R2009b environment.

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