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On iterative system identification and controller design
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Iterative identification of Hammerstein systems
Automatica, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Erwei Bai
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Convergence of the Iterative Hammerstein System Identification Algorithm
IEEE Transactions on Automatic Control, 2004The 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
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Iterative Identification of Feedforward Controllers for Iterative Learning Control
IFAC Proceedings Volumes, 2009Abstract 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
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Iterative learning identification
Proceedings of the 36th IEEE Conference on Decision and Control, 2002An 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
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Iterative algorithm for autonomous star identification
IEEE Transactions on Aerospace and Electronic Systems, 2015An 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
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An Iterative Wiener Filter for the Identification of Multilinear Forms
2020 43rd International Conference on Telecommunications and Signal Processing (TSP), 2020Multidimensional 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
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