• Suche: "Output-error models"

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1

Tutorial on system identification using fractional differentiation models
Malti, Rachid, R. ; Aoun, Mohamed ; Sabatier, Jocelyn ; et al.
14th IFAC SYmposium on System IDentification. :606-611

Newcastle, Australia Fractional differentiati... fractional integration identification simulation output error models …
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2

On the smoothness of nonlinear system identification
Ribeiro, Antônio H. ; Tiels, Koen ; Umenberger, Jack ; et al.
In Automatica November 2020 121

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3

System identification using fractional models: State of the art
Malti, Rachid, R. ; Victor, Stéphane ; Nicolas, Olivier ; et al.
ASME 2007 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2007).

Las Vegas, Nevada, Unite... Fractional differentiati... fractional integration identification simulation output error models …
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4

A Bias-Correction Approach for the Identification of Piecewise Affine Output-Error Models
Mejari, Manas ; Breschi, Valentina ; Naik, Vihangkumar V. ; et al.
In IFAC PapersOnLine 2020 53(2):1096-1101

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5

Recursive Output Error Identification Algorithm for Switched Linear systems with Bounded Noise
Goudjil, Abdelhak ; Pouliquen, Mathieu ; Pigeon, Eric ; et al.
IFAC World Congress 2017. :14112-14117

Toulouse, France Convergence properties Bounded noise Switched Output Error mo... Switched systems [SPI.AUTO]Engineering Sc... …
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6

“Parallel Training Considered Harmful?”: Comparing series-parallel and parallel feedforward network training
Ribeiro, Antônio H. ; Aguirre, Luis A.
In Neurocomputing 17 November 2018 316:222-231

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7

Wavelet based Steglitz Mc-Bride algorithm for Identification of Multiscale Output-Error Models
Pinnamaraju, Vivek S. ; Tangirala, Arun K.
In IFAC PapersOnLine 2018 51(15):921-926

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8

Shooting Methods for Parameter Estimation of Output Error Models
Ribeiro, Antônio H. ; Aguirre, Luis A.
In IFAC PapersOnLine July 2017 50(1):13998-14003

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9

Bounding nonconvex feasible sets in set membership identification: OE and ARX models with quantized information
Casini, Marco ; Garulli, Andrea ; Vicino, Antonio
IFAC Proceedings Volumes. 45:1191-1196

0209 industrial biotechn... 0202 electrical engineer... 02 engineering and techn... Bounded noise Output error models Quantized measurements …
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10

On the use of minimal parametrizations in multivariable output-error identification
GUIDORZI, ROBERTO ; DIVERSI, ROBERTO
2011 19th Mediterranean Conference on Control & Automation (MED). :1510-1515

0209 industrial biotechn... 02 engineering and techn... SYSTEM IDENTIFICATION MULTIVARIABLE MODELS OUTPUT ERROR MODELS MINIMAL PARAMETRIZATIONS …
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11

Feasible Parameter Set Approximation for Linear Models with Bounded Uncertain Regressors
Casini, Marco ; Garulli, Andrea ; Vicino, Antonio ; et al.
IEEE Transactions on Automatic Control. 59:2910-2920

2. Zero hunger 0209 industrial biotechn... Errors-in-variables output error models quantized measurements set membership identific... …
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12

A bias-corrected estimator for nonlinear systems with output-error type model structures
PIGA, Dario ; TOTH, Roland
Automatica (Oxford). 50(9):2373-2380

Control theory, operatio... Automatique, recherche o... Computer science Informatique Sciences exactes et tech... Exact sciences and techn... …
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13

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14

Pitfalls of the parametric approaches exploiting cross-validation for model order selection
Pillonetto, Gianluigi ; De Nicolao, Giuseppe
In IFAC Proceedings Volumes July 2012 45(16):215-220

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15

Efficient algorithms for large scale linear system identification using stable spline estimators
Carli, Francesca P. ; Chiuso, Alessandro ; Pillonetto, Gianluigi
In IFAC Proceedings Volumes July 2012 45(16):119-124

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16

Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises
FENG DING ; LIU, Peter X ; GUANGJUN LIU
Signal processing. 89(10):1883-1890

Telecommunications Télécommunications Sciences exactes et tech... Exact sciences and techn... Sciences appliquees Applied sciences …
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17

L 2 Model Reduction and Variance Reduction: \(L_{2}\) model reduction and variance reduction
Lennart Ljung ; Fredrik Tjärnström
IFAC Proceedings Volumes. 33:929-934

0209 industrial biotechn... finite impulse response variance reduction model reduction 0202 electrical engineer... System structure simplif... …
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18

ESTIMATION OF OUTPUT ERROR MODELS IN THE PRESENCE OF UNKNOWN BUT BOUNDED DISTURBANCES: Estimation of output error models in the presence of unknown but bounded disturbances
Gilles Ferreres ; M. M'Saad
International Journal of Adaptive Control and Signal Processing. 11:115-140

set membership identific... Control/observation syst... missle System identification outer-bounding orthotope output error models
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19

Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises
Ding, Feng ; Liu, Peter X. ; Liu, Guangjun
In Signal Processing 2009 89(10):1883-1890

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20

[Untitled]
S. G. Douma ; The Pennsylvania State University CiteSeerX Archives
http://www.dcsc.tudelft.nl/~pvandenhof/Reportfiles/StM2OE_Report.pdf.

system identification output error models instrumental variables iterative algorithms frequency domain
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