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利用广义内作用矩阵对多变量非最小相位系统进行最小相位/全域通分解(英文)
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作者 刘毅 胡平 《控制理论与应用》 EI CAS CSCD 北大核心 2002年第3期329-334,共6页
对于任意可检测和左可逆多变量非最小相位系统 ,给出了其最小相位 /全域通分解的显示解 .本文的结果表明全域通因子是系统的广义内作用矩阵的逆矩阵 .因此 ,直接求解系统的广义内作用矩阵便可得到上述频域分解的显示表达式 .由于本文的... 对于任意可检测和左可逆多变量非最小相位系统 ,给出了其最小相位 /全域通分解的显示解 .本文的结果表明全域通因子是系统的广义内作用矩阵的逆矩阵 .因此 ,直接求解系统的广义内作用矩阵便可得到上述频域分解的显示表达式 .由于本文的方法是频域法 ,它可以成为对现有时域法的补充 . 展开更多
关键词 多变量非最小相位系统 广义内作用矩阵 最小相位 全域通 分解
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Role of street patterns in zone-based traffic safety analysis 被引量:6
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作者 郭强 裴欣 +1 位作者 姚丹亚 黄仕进 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第6期2416-2422,共7页
Although extensive analyses of road segments and intersections located in urban road networks have examined the role of many factors that contribute to the frequency and severity of crashes, the explicit relationship ... Although extensive analyses of road segments and intersections located in urban road networks have examined the role of many factors that contribute to the frequency and severity of crashes, the explicit relationship between street pattern characteristics and traffic safety remains underexplored. Based on a zone-based Hong Kong database, the Space Syntax was used to quantify the topological characteristics of street patterns and investigate the role of street patterns and zone-related factors in zone-based traffic safety analysis. A joint probability model was adopted to analyze crash frequency and severity in an integrated modeling framework and the maximum likelihood estimation method was used to estimate the parameters. In addition to the characteristics of street patterns, speed, road geometry, land-use patterns, and temporal factors were considered. The vehicle hours was also included as an exposure proxy in the model to make crash frequency predictions. The results indicate that the joint probability model can reveal the relationship between zone-based traffic safety and various other factors, and that street pattern characteristics play an important role in crash frequency prediction. 展开更多
关键词 street pattern Space Syntax joint probability model crash frequency crash severity
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