Shuhua Zheng

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Current interests in BCI development mainly derive from rehabilitation engineering, assistant control for normal people, entertainment, brain cognition, and so on. This paper has developed an online mobile robot control system by BCI based on motor imagery (MI). In the system, the user can give control command by 'thinking'. The EEG signals from the user(More)
The speed control system model of a variable displacement hydraulic motor (VDHM) at a constant-pressure network has many uncertain and time-varying parameters. Therefore, it is impossible to obtain an accurate mathematical model. Moreover, the speed system is subject to a variety of disturbance from load and so on. The conventional proportional integral(More)
In this paper, due to the low information transfer rate and low recognition accuracy in Brain-Computer Interface (BCI), a four-class motor imagery Brain-Robot Interface based on Repeated Binary Common Spatial Pattern (RB-CSP) and Support Vector Machine (SVM) is proposed. The control strategy is offline training first, online control next-after users finish(More)
This paper focuses on the constant speed control of a hydraulic pump controlled motor system with abrupt changes of the pump input speed and load torque. An active disturbance rejection controller with feed-forward compensation algorithm is proposed. The feed-forward compensation improves the rapidity and ability of these anti-disturbances. The active(More)
The method of common spatial patterns (CSP) is often used for feature extraction in the electroencephalogram (EEG)-based brain-computer interface (BCI). However, the CSP method requires a large number of electrodes to produce good results. To improve the CSP classification accuracy with a smaller number of electrodes, we introduce a new method of feature(More)
According to the actual cooling demands of a heavy-duty truck, a cooling system overall structure was designed. And the radiators and the cooling fan were selected. The cooling system mathematical model was built by using lumped parameter method. And the target function of multiple temperatures and fan power consumption was formulated. The PSO (particle(More)
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