时间：2023年4月12日（星期叁）14:30-15:30
地点：经管大楼A楼 四楼第二会议室报告厅
主题：智能网联车队抗干扰控制（Disturbance rejection control for connected and automated vehicle platoons）
主讲人：陈倩 （MD传媒app下载）
介绍：陈倩，MD传媒app下载交通系统工程系讲师，研究方向为区域交通控制、智能网联车的微观控制和传感器网络中的分布式状态估计。以第1作者发表厂颁滨论文5篇，EI 论文2篇。拥有发明专利1项，实用新型专利2项。担任多个国际权威期刊审稿人，审稿期刊涉及交通工程，信号处理，传感器等领域。获Signal Processing 期刊“杰出审稿人”。曾到威斯康星大学麦迪逊校区进行为期18个月的访学。曾获东南大学首届“博士新生奖学金”、 BOSCH AIoT 等奖学金。入选上海市2023年度“科技创新行动计划”启明星项目（扬帆专项）人才计划。
摘要：日益增长的交通需求导致道路基础设施超载，从而造成大中城市容易发生交通拥堵。交通拥堵可能会带来交通事故和尾气污染。 随着信息技术的发展，智能交通系统成为改善城市交通运行的有效手段。研究表明智能网联车技术能大幅改善城市交通拥堵。为此，本报告围绕抗干扰在交通系统中的应用，主要介绍网联车的纵向跟随控制。主要内容： 1. 介绍了2种智能网联车队纵向跟随控制算法，可有效提升车队的抗干扰性和车队系统的跟随性，从而提升路网的效率；2. 介绍一种可显式保证队列弦稳定性的网联车队纵向优化跟随控制算法，该算法可有效提升车队系统的抗干扰性、驾乘舒适性及燃油经济性。
Growing traffic demand leads to overloading of road infrastructure, which makes large and medium-sized cities prone to traffic congestion. Traffic congestion may bring traffic accidents and exhaust pollution. With the development of information technology, intelligent transportation system has become effective to improve urban traffic operation. Studies have shown that connected and automated vehicle technology can significantly relieve urban traffic congestion. This talk focuses on the application of disturbance rejection control in traffic systems, especially in the longitudinal control of connected vehicles. Main contents: 1. two longitudinal control algorithms for connected and automated vehicle platoons, which can effectively enhance the disturbance rejection performance of connected and automated vehicle platoons, thereby improving the efficiency of the road network; 2. a disturbance observer-based tube model predictive control method with explicit consideration of string stability, which can effectively improve the disturbance rejection performance, driving comfort, and fuel economy.
