本文推荐一种新的图像边界检测的快速算法,通过CANNY的边界检测函数理论,我们证明了这种新的边界检测函数在信噪比(SIGNAL TO NOISERATIO),边界检测精度(LOCALIZATION)和伪边界平均距离(MULTIPLERESPONSE)这三个性能提标上都优于目前已...
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本文推荐一种新的图像边界检测的快速算法,通过CANNY的边界检测函数理论,我们证明了这种新的边界检测函数在信噪比(SIGNAL TO NOISERATIO),边界检测精度(LOCALIZATION)和伪边界平均距离(MULTIPLERESPONSE)这三个性能提标上都优于目前已知的任何一种边界检测函数.本文首先给出一线信号的递推公式,然后再应用到三维图像处理中.该检测函数的转点是计算简单,对于一维信号的每个点只需要5次乘法和5次加法运算,而不是卷积计算中的2N-1次.此外根据图像的计算要求,可改计算参数而不改变计算机的运行时间. 本算法已成功地应用到法国雷诺汽车集团的智能汽车上实时处理信息.
Based on the linear parameter-varying （LPV） adaptive observer, the robust fault diagnosis for a class of LPV systems with external disturbances is studied. Since the flight control system （FCS） is nonlinear and ti...
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Based on the linear parameter-varying （LPV） adaptive observer, the robust fault diagnosis for a class of LPV systems with external disturbances is studied. Since the flight control system （FCS） is nonlinear and time-varying, the LPV technique is used for FCS. And then the adaptive fault estimation algorithm based on the LPV adaptive observer is proposed to estimate the fault. To minimize the effect of disturbances on the fault estimation, the H~ robust performance index is introduced to design the LPV adaptive fault diagnosis observer and the fault estimation algorithm. The result shows that the method has good estimation performance and is robust to external disturbances. The design method is presented in terms of linear matrix inequalities （LMIs）. Finally, a helicopter LPV FCS model with the actuator fault is used to illustrate the effectiveness of the proposed method.
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