Data-Driven Reachability Analysis for the Reconfiguration of Vehicle Control Systems

被引：3
|
作者：
Fenyes, Daniel [1 ]
Nemeth, Balazs [1 ]
Gaspar, Peter [1 ]
机构：
[1] Hungarian Acad Sci, Syst & Control Lab, Inst Comp Sci & Control, Budapest, Hungary
来源：
IFAC PAPERSONLINE | 2018年 / 51卷 / 24期
关键词：
reconfiguration strategy; big data analysis; autonomous vehicle systems;
D O I：
10.1016/j.ifacol.2018.09.671
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper presents a reconfigurable control strategy for the lateral stability of autonomous vehicles. The control strategy is based on the analysis of big data, which are provided by the sensor networks of autonomous vehicles. The core of the analysis method is a machine learning algorithm, with which the impacts of various vehicle signals on the lateral dynamics have been examined. In the analysis several scenarios with faults in the steering and in-wheel systems are considered using a high-fidelity simulation software. The results of the examination are built into the fault-tolerant reconfiguration strategy. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：831 / 836
页数：6
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