| 快速路交通流常微分模型的PD型迭代学习控制 |
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| 引用本文： | 戴喜生,杨峰,郭亚君,张建香. 快速路交通流常微分模型的PD型迭代学习控制[J]. 广西工学院学报, 2014, 25(3): 21-25 |
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| 作者姓名： | 戴喜生 杨峰 郭亚君 张建香 |
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| 作者单位： | 1. 广西科技大学 电气与信息工程学院,广西柳州545006;广西高校工业过程智能控制技术重点实验室,广西柳州545006
2. 广西科技大学 电气与信息工程学院,广西柳州,545006 |
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| 基金项目： | 国家自然科学基金，广西教育厅科研项目，广西工学院博士基金 |
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| 摘 要： | 针对快速路交通常微分模型,利用快速路交通流具有明显的重复性和周期性等特点,首先,设计了一种快速路交通流常微分模型的入口匝道交通流PD型迭代学习控制算法,并建立了迭代学习误差的收敛性条件;其次,利用λ范数和Bellman-Gronwall引理证明了算法的收敛性.最后,通过数值仿真结果进一步说明了提出的迭代学习控制方法的有效性.
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| 关 键 词： | 智能控制 交通流 迭代学习控制 |
PD-type iterative learning control for freeway traffic flow ordinary differential equation model |
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| DAI Xi-sheng,YANG Feng,GUO Ya-jun,ZHANG Jian-xiang. PD-type iterative learning control for freeway traffic flow ordinary differential equation model[J]. Journal of Guangxi University of Technology, 2014, 25(3): 21-25 |
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| Authors: | DAI Xi-sheng YANG Feng GUO Ya-jun ZHANG Jian-xiang |
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| Affiliation: | DAI Xi-sheng ,YANG Feng, GUO Ya-jun , ZHANG Jian-xiang ( 1. College of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China; 2. Key Laboratory of Industrial Process Intelligent Control Technology of Guangxi Higher Education Institution, Liuzhou 545006, China) |
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| Abstract: | Based on the freeway traffic flow ordinary differential equation model,this paper presents the PD-type iterative learning control approach of the on-ramp traffic flow for freeway traffic flow ordinary differential equation model with consideration of the repeatability and periodicity of traffic system, and onvergence condition of iterative learning error is established. Furthermore, the convergence of the algorithm is proved by using norm and Bellman-Gronwall lemma. The results of numerical simulation further show the effectiveness of the proposed approach. |
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| Keywords: | intelligent control traffic flow iterative learning control |
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