The invention relates to a traffic signal self-adaptive iterative learning control method for attenuation memory de-counterfeiting control. The method combines attenuation memory de-counterfeiting control with iterative learning control so as to overcome the technical defects of the traditional signal control scheme. Open-loop and closed-loop PD type are adopted for iterative learning control by taking the repetitive characteristic of traffic flow as an entry point, therefore, in order to solve the problem that the influence of traffic flow historical data on the current real-time state is continuously reduced as time goes on, an attenuation memory function is added to a pseudo-removal control performance index function, dynamic change of a closed-loop learning law is realized, and the accuracy of iterative learning is improved, so that the traffic efficiency of a road network is improved.

    本发明涉及一种衰减记忆去伪控制的交通信号自适应迭代学习控制方法,将衰减记忆去伪控制与迭代学习控制相结合,克服了传统信号控制方案的技术不足,以交通流的重复特性为切入点采用开闭环PD型迭代学习控制,针对交通流历史数据对当前实时状态的影响会随着时间的推移不断降低,提出在去伪控制性能指标函数中增加衰减记忆函数,实现闭环学习律的动态变化,提高迭代学习的准确性,从而改善路网的通行效率。


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    Title :

    Traffic signal self-adaptive iterative learning control method for attenuation memory de-counterfeiting control


    Additional title:

    衰减记忆去伪控制的交通信号自适应迭代学习控制方法


    Contributors:
    YAN FEI (author) / QIU JIANGCHEN (author) / TIAN JIANYAN (author) / LI PU (author)

    Publication date :

    2020-11-17


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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