Low dimensional chaos in elevator peak traffic
作者单位：School of Electrical Engineering and AutomationTianjin University School of Electrical EngineeringTianjin University of Technology
会议名称：《2011年中国智能自动化学术会议》
会议日期：2011年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)]
基 金：Projects(60874073,91016018) supported by the National Nature Science Foundation of China Project(11JCZDJC25100) supported by Tianjin Basic Research Key Foundation,China
关 键 词：elevator traffic flow energy consumption chaos phase space reconstruction largest lyapunov exponent
摘 要：Nonlinear time series techniques were applied to analyze up-peak and down-peak traffic flow data and energy consumption data in elevator *** space was reconstructed using the delay embedding theorem,which described the behaviour evolution of a nonlinear *** parameters including delay time and embedding dimension were estimated using the mutual information of the data and the false nearest neighbour algorithm,*** to the attractor of the elevator traffic flow data and energy consumption data from reconstruction was not a necessarily sufficient indication of chaos,the correlation dimension and the largest Lyapunov exponent aiming at the above data were *** on these analysis and calculation,the results indicate that low dimensional chaotic characteristics obviously exist in the up-peak and down-peak traffic flow data and energy consumption *** result helps to adjust the group control scheduling methods according to the chaotic behaviour of the peak flow and the building energy consuming to increase the performance index of the system.