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基于匝道调节的快速路交通密度的无模型周期自适应控制方法
引用本文:池荣虎,侯忠生.基于匝道调节的快速路交通密度的无模型周期自适应控制方法[J].自动化学报,2010,36(7):1029-1032.
作者姓名:池荣虎  侯忠生
作者单位:1.青岛科技大学自动化与电子工程学院 青岛 266042
摘    要:针对快速路交通这一类复杂的MIMO非线性系统, 提出了一种新的无模型周期自适应匝道调节方法. 该方法本身是无模型的, 控制输入信息和伪Jacobi参数可在整个周期上逐点利用以前周期获得的I/O数据周期地进行更新. 通过严格的数学分析证明了算法的几何收敛性. 仿真结果也进一步说明了所提出方法的有效性.

关 键 词:无模型自适应控制(MFAC)    周期控制    MIMO非线性系统    交通密度控制    I/O数据
收稿时间:2008-12-15
修稿时间:2009-3-6

A Model-free Periodic Adaptive Control for Freeway Traffic Density via Ramp Metering
CHI Rong-Hu,HOU Zhong-Sheng.A Model-free Periodic Adaptive Control for Freeway Traffic Density via Ramp Metering[J].Acta Automatica Sinica,2010,36(7):1029-1032.
Authors:CHI Rong-Hu  HOU Zhong-Sheng
Affiliation:1.School of Automation and Electrical Engineering, Qingdao University of Science and Technology, Qingdao 266042, P.R. China;2.Advanced Control Systems Laboratory, School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, P.R. China
Abstract:In this paper, a novel model-free periodic adaptive ramp metering scheme is presented for a freeway traffic system, which can be formulated as a general MIMO nonlinear system. The proposed method is model-free in nature, and the control inputs and the pseudo Jacobi parameters are updated periodically in a pointwise manner over the entire period, by directly using the I/O data obtained in the preceding periods. The geometrical tracking performance is shown with rigorous analysis. The simulation results illustrate the validity of the proposed method.
Keywords:Model-free adaptive control (MFAC)  periodic control  MIMO nonlinear system  traffic density control  I/O data
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