控制(管理)
分级控制系统
容错
控制系统
自适应控制
计算机科学
控制工程
工程类
控制理论(社会学)
分布式计算
电气工程
人工智能
作者
Lu Wang,Yougang Bian,Dongpu Cao,Hongmao Qin,Manjiang Hu
出处
期刊:IEEE Transactions on Vehicular Technology
[Institute of Electrical and Electronics Engineers]
日期:2024-05-23
卷期号:73 (10): 14313-14325
被引量:19
标识
DOI:10.1109/tvt.2024.3400971
摘要
Unexpected faults occurring in a connected vehicle (CV) are inevitable, imposing potential safety risks upon a vehicle platoon, and it is more challenging to tackle in the case of heterogeneous CVs. In this paper, we propose a novel hierarchical control framework that integrates an upper observer layer and a lower tracking layer. Based on distributed fixed-time observers in the upper layer, the following vehicles can observe the leader's state through vehicle-to-vehicle (V2V) communication. Adaptive fault-tolerant control techniques are leveraged to address the issues of unknown actuator faults and help CVs track their observed leader's state in the lower tracking layer. Furthermore, we formulate two sufficient conditions to ensure the stability of closed-loop systems and the feasibility of the proposed control framework. To validate our method, three numerical examples and comparative results are provided to show the effectiveness and competitiveness of the presented techniques.
科研通智能强力驱动
Strongly Powered by AbleSci AI