Results 241 to 250 of about 24,615,903 (307)
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International Journal of Robust and Nonlinear Control, 2023
The identification problem of nonlinear system with missing data is focused in this article. In order to overcome the system unavailable outputs, an auxiliary model‐based interval‐varying recursive identification method is derived by changing the ...
Huafeng Xia +5 more
semanticscholar +1 more source
The identification problem of nonlinear system with missing data is focused in this article. In order to overcome the system unavailable outputs, an auxiliary model‐based interval‐varying recursive identification method is derived by changing the ...
Huafeng Xia +5 more
semanticscholar +1 more source
International Journal of Adaptive Control and Signal Processing, 2021
For the parameter estimation problem of an input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity, this article gives an analytical form of the variable‐gain nonlinearity by introducing an appropriate switching ...
Yamin Fan, Ximei Liu
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For the parameter estimation problem of an input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity, this article gives an analytical form of the variable‐gain nonlinearity by introducing an appropriate switching ...
Yamin Fan, Ximei Liu
semanticscholar +1 more source
International Journal of Robust and Nonlinear Control, 2022
This article considers the parameter estimation problems of two‐input single‐output Hammerstein output‐error moving average systems. The system is decomposed into two subsystems based on the hierarchical principle. The first model is used to identify the
Jian Liu, Yan Ji
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This article considers the parameter estimation problems of two‐input single‐output Hammerstein output‐error moving average systems. The system is decomposed into two subsystems based on the hierarchical principle. The first model is used to identify the
Jian Liu, Yan Ji
semanticscholar +1 more source
Engineering applications of artificial intelligence, 2021
In many actual systems, it is often difficult to obtain complete input and output data. Thus, the problem of scarce measurements usually appears in the identification of these systems.
Tiancheng Zong, Junhong Li, G. Lu
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In many actual systems, it is often difficult to obtain complete input and output data. Thus, the problem of scarce measurements usually appears in the identification of these systems.
Tiancheng Zong, Junhong Li, G. Lu
semanticscholar +1 more source
Source-Free Multi-Domain Adaptation with Generally Auxiliary Model Training
IEEE International Joint Conference on Neural Network, 2022Unsupervised domain adaptation transfers gained knowledge from labeled source domain(s) to a similar unlabeled target domain by eliminating the domain shifts.
Keqiuyin Li +3 more
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Measurement Error Models with Auxiliary Data
Review of Economic Studies, 2005The problem of an interference about a parameter defined in terms of unconditional moment restrictions when the data are measured with an error is studied. Arbitrary correlation between the measurement error and true data is assumed. All proofs are given. Some econometric examples are presented.
Xiaohong Chen, Han Hong, Elie Tamer
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International Journal of Robust and Nonlinear Control, 2021
This article is concerned with the parameter estimation problem of a nonlinear output‐error system with saturation and dead‐zone nonlinearity. The saturation nonlinearities and the dead‐zone nonlinearities are widely encountered in engineering ...
Xiao Wang, F. Ding, A. Alsaedi, T. Hayat
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This article is concerned with the parameter estimation problem of a nonlinear output‐error system with saturation and dead‐zone nonlinearity. The saturation nonlinearities and the dead‐zone nonlinearities are widely encountered in engineering ...
Xiao Wang, F. Ding, A. Alsaedi, T. Hayat
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International Journal of Robust and Nonlinear Control, 2020
This article studies the identification problem of the nonlinear sandwich systems. For the sandwich system, because there are inner variables which cannot be measured in the information vector of the identification models, it is difficult to identify the
Ling Xu, F. Ding, Erfu Yang
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This article studies the identification problem of the nonlinear sandwich systems. For the sandwich system, because there are inner variables which cannot be measured in the information vector of the identification models, it is difficult to identify the
Ling Xu, F. Ding, Erfu Yang
semanticscholar +1 more source
Auxiliary Training: Towards Accurate and Robust Models
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020Training process is crucial for the deployment of the network in applications which have two strict requirements on both accuracy and robustness. However, most existing approaches are in a dilemma, i.e. model accuracy and robustness form an embarrassing tradeoff - the improvement of one leads to the drop of the other.
Linfeng Zhang 0001 +5 more
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