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    赵刚, 王梦灵, 薛斌强, 严怀成. 基于自适应事件触发的交通网络预测控制[J]. 华东理工大学学报(自然科学版), 2021, 47(3): 316-322. DOI: 10.14135/j.cnki.1006-3080.20191230002
    引用本文: 赵刚, 王梦灵, 薛斌强, 严怀成. 基于自适应事件触发的交通网络预测控制[J]. 华东理工大学学报(自然科学版), 2021, 47(3): 316-322. DOI: 10.14135/j.cnki.1006-3080.20191230002
    ZHAO Gang, WANG Mengling, XUE Binqiang, YAN Huaicheng. Traffic Network Predictive Control Based on An Adaptive Event-Triggered Scheme[J]. Journal of East China University of Science and Technology, 2021, 47(3): 316-322. DOI: 10.14135/j.cnki.1006-3080.20191230002
    Citation: ZHAO Gang, WANG Mengling, XUE Binqiang, YAN Huaicheng. Traffic Network Predictive Control Based on An Adaptive Event-Triggered Scheme[J]. Journal of East China University of Science and Technology, 2021, 47(3): 316-322. DOI: 10.14135/j.cnki.1006-3080.20191230002

    基于自适应事件触发的交通网络预测控制

    Traffic Network Predictive Control Based on An Adaptive Event-Triggered Scheme

    • 摘要: 为了降低网络控制系统的通信资源占用率,提出了一种自适应事件触发模型预测控制策略,实现自适应状态传输并保证系统稳定。在自适应机制下,只有当满足触发条件时,系统状态和控制器控制律才由无线网络发送,自适应触发参数决定当前采样数据发送的频率。设计了一种鲁棒的预测控制器,保证网络控制系统的闭环稳定性。通过仿真实例验证了本文方法的有效性。

       

      Abstract: The process of traffic signal control can be taken as a typical network control system (NCSs), which has extensive application in many fields for its easy maintenance and installation. However, there are still some problems on NCSs in practical analysis and design, such as network delay, packet loss, signal quantization, and multi-packet transmission, which may decrease the performance of the control system and further lead to system instability. This paper presents an adaptive event-triggered model predictive control (MPC) strategy to reduce the communication consumption. The resulting framework is used for the stabilization of uncertain NCSs subject to quantization. The system state and control signals are transmitted via wireless networks only when the triggering conditions are satisfied, in which the adaptive triggering mechanism has more flexible and better performance. The adaptive triggering condition decides how often to transmit the current sample data. Under this mechanism, a robust MPC is designed to ensure the stability of closed-loop NCSs with quantized effects and achieve the desired control performance, meanwhile, reduce the energy consumption and improve the network congestion. A solving algorithm on the proposed control method is also given. Finally, it is shown via a simulation example that the proposed event-triggered MPC method can ensure the robust stability of the controlled system, meanwhile, the event-triggered mechanism can save more communication resources.

       

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