标题：Model Identification for Closed-loop Multivariable Processes Based on Min-max Critical Frequency Search
作者：Luo, Yunhui; Liu, Hongbo; Cai, Wenjian; Jia, Lei; Jia, Zhiping; Song, Ruifu
作者机构：[Luo, Yunhui; Jia, Zhiping] Shandong Univ, Sch Comp Sci & Technol, Jinan 250100, Shandong, Peoples R China.; [Luo, Yunhui; Jia, Lei] Shandong Polyte 更多
会议名称：10th World Congress on Intelligent Control and Automation (WCICA)
会议日期：JUL 06-08, 2012
来源：PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012)
关键词：model identification; multivariable process; closed-loop; min-max; critical frequency search (min-max CFS)
摘要：This paper presents an improved method of model parameters identification in frequency-domain for closed-loop multivariable processes. Based on reference input and process output data during the closed-loop sequence step tests, the process frequency-responses are estimated with signal frequency analysis. Using a min-max critical frequency search algorithm, only a least possible number of frequency points are obtained for model fitting. Then the first order plus delay time transfer functions are determined by implementing the linear leastsquare method. Compared with existing methods, the proposed identification technique has the advantage of less computation burden and is easy for industrial applications. Simulation results show the simplicity and effectiveness of the proposed method.