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This paper presents an integrated articulated steering vehicle's (ASV) dynamics model, which provides a simulation platform for research on path tracking control of ASV. The active speed limiting control is designed according to the sideslip constraints to improve the lateral stability of the vehicle during path tracking. The weighted PID controller is applied to control the steering torque based...
This paper focuses on the loss analysis and optimized design of DC-DC converter for battery module. By using the data measured from the experiment study of inductor loss and component datasheets to derive the inductor, MOSFET, and capacitor loss equations of bidirectional buck converter, boost converter, and buck-boost converter through numerical analysis. In addition, the charging and discharging...
This paper proposes a model-based method to quantitatively measure baroreflex sensitivity in autonomic nervous regulation of cardiovascular system. The method measures the continuous blood pressure and heart rate in orthostatic scenario, models dynamics of the baroreflex firing rate, solves parameters by optimization of measured blood pressure and heart rate variations. With this model, we can get...
The study of flood detection is significant to human life and social economy. In this paper, a completely unsupervised flood detection approach is presented, which combines spatio-temporal context and histogram thresholding. A global thresholding algorithm can be used in most of the cases to distinguish flood from non-flood pixels, but it may not distinguish local grey-level changes when the method...
Quantitative measures of autonomic regulation of cardiovascular system have clinical and prognostic value in a variety of cardiovascular diseases. This paper proposes a model-based method in the measurement of baroreflex sensitivity, sympathetic and parasympathetic activity. The method measures the continuous blood pressure and heart rate in orthostatic scenario, models the baroreflex and sympathetic...
The paper is concerned with the stability of robust multiple model adaptive control systems of continuous-time stochastic plant. First, the traditional weighting algorithm based on multiple Kalman filter and Bayes formulas is replaced by newly developed weighting algorithm; second, with the help of virtual equivalent system concept and methodology, the stability results are presented for linear time-invariant...
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