Results 241 to 250 of about 2,984,455 (293)

On iterative system identification and controller design

open access: yesProceedings of the Japan Joint Automatic Control Conference, 2008
openaire   +1 more source

Iterative identification of Hammerstein systems

Automatica, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Erwei Bai
exaly   +4 more sources

Convergence of the Iterative Hammerstein System Identification Algorithm

IEEE Transactions on Automatic Control, 2004
The convergence of the iterative identification algorithm for the Hammerstein system has been an open problem for a long time. In this paper, a detailed study is carried out and various convergence properties of the iterative algorithm are derived. It is shown that the iterative algorithm with normalization is convergent in general.
Duan Li, Erwei Bai
exaly   +3 more sources

Iterative Identification of Feedforward Controllers for Iterative Learning Control

IFAC Proceedings Volumes, 2009
Abstract One the the main disadvantages to the standard iterative learning control (ILC) problem is that the learning filter is static and does not update based on the current iteration information. This means that while the learning control is updating the feedforward control input, the learning controller itself is not updating.
Hoday Stearns   +2 more
openaire   +2 more sources

Iterative learning identification

Proceedings of the 36th IEEE Conference on Decision and Control, 2002
An iterative learning identification method is proposed for curve identification problems. The basic idea is to convert the curve identification problem into an optimal tracking control problem. The measured trajectories are regarded as the desired trajectories to be optimally tracked and the curve to be identified is taken as a virtual control ...
null Yangquan Chen   +3 more
openaire   +1 more source

Iterative algorithm for autonomous star identification

IEEE Transactions on Aerospace and Electronic Systems, 2015
An autonomous star identification algorithm is described in this study. This algorithm iteratively determines a catalog star, the distances of which to its neighbors are similar to those of a given sensor star and its neighboring stars, until a unique match is found.
Jian Li 0037, Xinguo Wei, Guangjun Zhang
openaire   +2 more sources

An Iterative Wiener Filter for the Identification of Multilinear Forms

2020 43rd International Conference on Telecommunications and Signal Processing (TSP), 2020
Multidimensional system identification problems can be encountered in many important fields, such as big data, machine learning, and source separation. Nevertheless, a large parameter space usually raises additional challenges in terms of system identification.
Laura-Maria Dogariu   +4 more
openaire   +1 more source

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