Results 251 to 260 of about 2,984,455 (293)

Improve Recursive Identification using Multi-Iteration

IFAC Proceedings Volumes, 2009
A multi-iteration recursive identification algorithm is proposed and studied. The algorithm performs multiple iterations for each data sample in order to improve the accuracy of the estimate. The algorithm is worked out for an ARMAX model using Gauss Newton method and pseudo-linear regression.
Zhang, Xiangping, Zhu, Y., Bosch, van den, P.P.J.   +2 more
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An iterative method for the identification of MA systems

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1988
An iterative method for the identification of an nth-order moving average (MA) system is proposed which is based on a matrix splitting. Because of the special structures of the matrices involved, only O(n) storage is needed. One iteration is accomplished in O(n/sup 2/) operations, and the algorithm may be executed on a pipeline multiprocessor.
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Convergence of normalized iterative identification of Hammerstein systems

Systems & Control Letters, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guoqi Li 0002, Changyun Wen
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Characterisation of the iterative integral parameter identification method

Medical & Biological Engineering & Computing, 2011
Parameter identification methods are used to find optimal parameter values to fit models to measured data. The single integral method was defined as a simple and robust parameter identification method. However, the method did not necessarily converge to optimum parameter values. Thus, the iterative integral method (IIM) was developed.
Paul Docherty 0001, J. Geoffrey Chase, Timothy David   +2 more
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Impact of error fields on plasma identification in ITER

Fusion Engineering and Design, 2013
Abstract The active control of plasma discharges in present Tokamak devices must be prompt and accurate to guarantee expected performance. As a consequence, the identification step, calculating plasma parameters from diagnostics, should provide in a very short time reliable estimates of the relevant quantities, such as plasma centroid position ...
MARTONE, Raffaele, L. Appel, CHIARIELLO, Andrea Gaetano, FORMISANO, Alessandro, MATTEI, Massimiliano, A. Pironti   +5 more
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An iterative method of blur identification and image restoration

Proceedings of 3rd IEEE International Conference on Image Processing, 2002
An increment iterative blind deconvolution (IIBD) algorithm in the frequency domain is proposed for simultaneous identification of blurs and restoration of images. The algorithm is simple and efficient, and one does not need to impose a statistic presumption on the image. The a priori knowledge can be easily incorporated into the algorithm. Experiments
Zou Mou-Yan, Rolf Unbehauen
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Set Membership Identification and Control of an Iterative Process

2019 18th European Control Conference (ECC), 2019
For processes that repeat the same task an iterative control method can be applied that learns from the previous runs and corrects the tracking error for the next run. Meanwhile, a set membership identification technique is be combined with the regulation part to identify the plant response using the informative input-output data of previous ...
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Evolving iterative methods for simultaneous identification and control

2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 2016
The paper shows that the complex problem of the iterative methods for simultaneous identification and control can be handled in the framework of an evolving procedure.
László Keviczky, Csilla Bányász
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An Iterative Identification Method for Linear Continuous-Time Systems

IEEE Transactions on Automatic Control, 2006
This paper presents a novel approach to identification of continuous-time systems directly from the sampled I/O data based on trial iterations. The method achieves identification through ILC (iterative learning control) concepts in the presence of heavy measurement noise.
CAMPI, Marco, T. SUGIE, F. SAKAI
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Person Re-identification by Cascade-Iterative Ranking

2014
State-of-the-art methods on person re-identification usually match the probe set against the candidates in gallery set without the reversed matching process. The one-way methods may not obtain the correct corresponding result by using the limited information in gallery set.
Xiangyu Wang, Feng Chen 0007, Yu Liu
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