控制理论(社会学)
反推
平面的
计算机科学
理论(学习稳定性)
观察员(物理)
传输(电信)
职位(财务)
事件(粒子物理)
控制器(灌溉)
参数化复杂度
有界函数
路径(计算)
控制(管理)
自适应控制
数学
算法
计算机网络
人工智能
电信
数学分析
物理
计算机图形学(图像)
财务
量子力学
机器学习
农学
经济
生物
作者
Kunting Yu,Yongming Li,Zhouhua Peng,Shaocheng Tong
出处
期刊:IEEE Transactions on Vehicular Technology
[Institute of Electrical and Electronics Engineers]
日期:2022-11-04
卷期号:72 (3): 2988-3000
被引量:14
标识
DOI:10.1109/tvt.2022.3218706
摘要
In this paper, an event-triggered distributed formation control method is proposed for multiple planar vehicles which are modeled as uncertain Euler-Lagrangian systems (ELSs). Firstly, a position and orientation (PAO)-based event-triggered mechanism is designed to decrease the frequency of data transmission through the wireless network. According to the PAO information at the event-triggered time, an event-triggered high-gain extended state observer (EHGESO) is developed to remove the demand of velocity information in conventional backstepping technique and eliminate the requirement of continuous PAO information in traditional HGESO design. Under the developed EHGESO and the PAO-based event-triggered mechanism, planar vehicles can cooperatively move along the parameterized path, and can transmit information with their neighbor vehicles only if the designed event-triggered mechanism is violated. The stability is proved by employing input-to-state stability (ISS) and semi-global uniformly ultimately bounded (SGUUB) stability theory. Eventually, a simulation of three-degree-of-freedom surface vehicle models is offered to illustrate the effectiveness of the developed control method.
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