期刊
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
卷 23, 期 6, 页码 5602-5614出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TITS.2021.3055256
关键词
Mixed H-2/H-infinity theory; delayed measurements; multiplicative noise; observer-based controller; linear matrix inequality; advanced driver assistant system
资金
- National Key Research and Development Program of China [2018YFB0105101, 2017YFB0103502]
- National Natural Science Foundation of China [52002211]
- National Fund for Fundamental Research [282018Y-5973]
In this study, a novel mixed H-2/H-infinity observer-based controller is proposed to address delayed measurements for real-time feedback control in advanced driver assistant system (ADAS). The controller enables object tracking and car-following, as well as attenuation of noises in the adaptive cruise control (ACC) system. The design criterion for the proposed controller is established based on linear matrix inequality (LMI) technique, demonstrating effectiveness through experiment scenarios.
Delayed measurements can create difficulties for real-time feedback control. To address the advanced driver assistant system (ADAS) in practical application with delayed measurements, false alarms, false dismissals and disturbances, we propose a novel mixed H-2/H-infinity observer-based controller in this study, which enables object tracking and car-following. Especially, the additive and multiplicative noises of the adaptive cruise control (ACC) system can be attenuated by the proposed mixed H-2/H-infinity method. We first analyze the adaptive cruise and Radar tracking characteristics. Then, a definition of H-2/H-infinity guarantee performance is introduced to ensure satisfying target tracking and safety car-following performances. Based on H-infinity theory, the design criterion of the proposed mixed H-2/H-infinity observer-based controller for ACC is established by linear matrix inequality (LMI) technique. Lastly, some experiment scenarios are given to demonstrate the effectiveness of the proposed method.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据