控制理论(社会学)
观察员(物理)
非线性系统
趋同(经济学)
有界函数
计算机科学
跟踪(教育)
国家观察员
可见的
指数稳定性
事件(粒子物理)
理论(学习稳定性)
多智能体系统
控制(管理)
数学
人工智能
机器学习
经济
数学分析
物理
量子力学
经济增长
教育学
心理学
作者
Chao Deng,Wen Chen,Jiangshuai Huang,Xian-Ming Zhang,Ying Zou
出处
期刊:IEEE Transactions on Automatic Control
[Institute of Electrical and Electronics Engineers]
日期:2022-05-01
卷期号:67 (5): 2669-2676
被引量:136
标识
DOI:10.1109/tac.2021.3090739
摘要
The distributed tracking problem for uncertain nonlinear multiagent systems (MASs) under event-triggered communication is an important issue. However, existing results provide solutions that can only ensure stability with bounded tracking errors, as asymptotic tracking is difficult to be achieved mainly due to the errors caused by event-triggering mechanisms and system uncertainties. In this article, with the aim of overcoming such difficulty, we propose a new methodology. The subsystems in MASs are divided into two groups, in which the first group consists of the subsystems that can access partial output of the reference system and the second one contains all the remaining subsystems. To estimate the state of the reference system, a new distributed event-triggered observer is first designed for the first group based on a combined output observable condition. Then, a distributed event-triggered observer is proposed for the second group by employing the observer state of the first group. Based on the designed observers, adaptive controllers are derived for all subsystems. It is established that global stability of the closed loop system is ensured and asymptotic convergence of all the tracking errors is achieved. Moreover, a simulation example is provided to show the effectiveness of the proposed method.
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