Browsing by Author "Chai, Ruiqi"

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    An improved model predictive control method for vehicle lateral control
    (IEEE, 2020-09-09) Li, Yunao; Chai, Senchun; Chai, Ruiqi; Liu, Xiaopeng
    This paper presents a lateral dynamic model based on control algorithm for the path tracking of autonomous vehicle. To improve the stability of the vehicle for high speed cases, an improved model predictive control (MPC) controller has been proposed in this paper. By combining the steady state response and MPC, the lateral motion of the autonomous vehicle can be controlled smoothly and the accuracy of path tracking can be guaranteed at a high speed. A number of simulation results obtained by using MATLAB are provided to validate this methodology.
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    A novel industrial intrusion detection method based on threshold-optimized CNN-BiLSTM-attention using ROC curve
    (IEEE, 2020-09-09) Lan, Mindi; Luo, Jun; Chai, Senchun; Chai, Ruiqi; Zhang, Chen; Zhang, Baihai
    In recent years, many researchers have proposed many intrusion detection methods to protect the industrial network. However, there are two existing problems among them: one is that they only consider the overall accuracy rate (AC) while ignoring the problem of class imbalance; another one is that they have considered the problem of class imbalance, but the detection rate (DR) is low and false positive rate (FR) is high for minority classes. In order to improve AC and DR of minority classes, we propose a method called threshold-optimized CNN-BiLSTM-Attention that combines CNN-BiLSTM-Attention model, with threshold modification method based on receiver operating characteristic (ROC) curve. In this method, we use CNN-BiLSTM-Attention model as a classifier and modify threshold of the classifier through ROC curve. To evaluate the proposed method, we have performed experiments on the standard industrial data set. And the experimental results show that the proposed method can improve AC and the DR of minority classes at low FR, which is better than other intrusion detection methods.