scholarly journals A Robust Model-Free Feature Screening Method for Ultrahigh-Dimensional Data

2017 ◽  
Vol 26 (4) ◽  
pp. 803-813 ◽  
Author(s):  
Jingnan Xue ◽  
Faming Liang
Keyword(s):  
Screening Method ◽  
Feature Screening ◽  
Model Free ◽  
Robust Model

Robust model-free feature screening for ultrahigh dimensional surrogate data

2019 ◽  
Vol 90 (3) ◽  
pp. 550-569 ◽  
Author(s):  
Peng Lai ◽  
Yuanxing Chen ◽  
Jie Zhang ◽  
Bingying Dai ◽  
Qingzhao Zhang
Keyword(s):  
Surrogate Data ◽  
Feature Screening ◽  
Model Free ◽  
Robust Model

scholarly journals Weighted Mean Squared Deviation Feature Screening for Binary Features

Entropy ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. 335 ◽  
Author(s):  
Gaizhen Wang ◽  
Guoyu Guan
Keyword(s):  
Binary Classification ◽  
Pearson Correlation ◽  
Asymptotic Properties ◽  
Screening Method ◽  
Log P ◽  
Power Law Distribution ◽  
Weighted Mean ◽  
Feature Screening ◽  
Model Free ◽  
Binary Features

In this study, we propose a novel model-free feature screening method for ultrahigh dimensional binary features of binary classification, called weighted mean squared deviation (WMSD). Compared to Chi-square statistic and mutual information, WMSD provides more opportunities to the binary features with probabilities near 0.5. In addition, the asymptotic properties of the proposed method are theoretically investigated under the assumption log p = o ( n ) . The number of features is practically selected by a Pearson correlation coefficient method according to the property of power-law distribution. Lastly, an empirical study of Chinese text classification illustrates that the proposed method performs well when the dimension of selected features is relatively small.

Intelligent PD controller design for active suspension system based on robust model-free control strategy

2019 ◽  
Vol 233 (14) ◽  
pp. 4863-4880 ◽  
Author(s):  
Maroua Haddar ◽  
Riadh Chaari ◽  
S Caglar Baslamisli ◽  
Fakher Chaari ◽  
Mohamed Haddar
Keyword(s):  
Controller Design ◽  
Design Method ◽  
Active Suspension ◽  
Vehicle Speed ◽  
Pd Controller ◽  
Suspension Systems ◽  
Model Free ◽  
Robust Model ◽  
Road Disturbance ◽  
Model Free Control

A novel active suspension control design method is proposed for attenuating vibrations caused by road disturbance inputs in vehicle suspension systems. For the control algorithm, we propose an intelligent PD controller structure that effectively rejects online estimated disturbances. The main theoretical techniques used in this paper consist of an ultra-local model which replaces the mathematical model of quarter car system and a new algebraic estimator of unknown information. The measurement of only input and output variables of the plant is required for achieving the reference tracking task and the cancellation of unmodeled exogenous and endogenous perturbations such as roughness road variation, unpredictable variation of vehicle speed and load variation. The performance and robustness of the proposed active suspension algorithm are compared with ADRC control and LQR control. Numerical results are provided for showing the improvement of passenger comfort criteria with model-free control.

A nonparametric feature screening method for ultrahigh-dimensional missing response

2020 ◽  
Vol 142 ◽  
pp. 106828 ◽  
Author(s):  
Xiaoxia Li ◽  
Niansheng Tang ◽  
Jinhan Xie ◽  
Xiaodong Yan
Keyword(s):  
Screening Method ◽  
Feature Screening ◽  
Missing Response

scholarly journals Robust Model-Free Nonsingular Terminal Sliding Mode Control for PMSM Demagnetization Fault

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 15737-15748 ◽  
Author(s):  
Kaihui Zhao ◽  
Tonghuan Yin ◽  
Changfan Zhang ◽  
Jing He ◽  
Xiangfei Li ◽  
...  
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Terminal Sliding Mode Control ◽  
Terminal Sliding Mode ◽  
Mode Control ◽  
Model Free ◽  
Robust Model ◽  
Nonsingular Terminal Sliding Mode
Sign in / Sign up

Export Citation Format

Share Document