ITERATIVE LEARNING CONTROL BASED FREEWAY RAMP METERING WITH ITERATION-VARYING PARAMETER

被引：0

作者：

Yan, Jingwen ^{[1
]}

Hou, Zhongsheng ^{[1
,2
]}

机构：

[1] Beijing Jiaotong Univ, Adv Control Syst Lab, Beijing 10044, Peoples R China

[2] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 10044, Peoples R China

来源：

INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2010年 / 6卷 / 3A期

基金：

中国国家自然科学基金;

关键词：

Iterative learning control; Freeway ramp metering; Iteration-varying; TRAFFIC FLOW;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this work, a revised iterative learning control based ramp metering algorithm with compensation for the iteration-depended traffic free speed is proposed. This control method works well when free Speed is iteration-varying, which is the most common situation for the freeway traffic system. With rigorous analysis, the proposed control scheme guarantees the asymptotic convergences along the iteration axis. In order to make the strategy practical, estimation methods of compensation coefficient are proposed as well Intensive simulations show the effectiveness and superiority of the proposed strategy with iteration-varying free speed, as compared with. the pine iterative learning control method

引用

页码：875 / 884

页数：10

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