Distributed adaptive consensus tracking control for stochastic nonlinear multi-agent systems with quantized input

被引：0
|
作者：
Hu Zilun [1 ]
Yang Jianying [2 ]
机构：
[1] Nanjing Res Inst Elect Technol, Nanjing, Peoples R China
[2] Peking Univ, Coll Engn, Dept Mech & Engn Sci, Beijing, Peoples R China
来源：
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年
基金：
中国国家自然科学基金;
关键词：
Control Theory; Adaptive control; Quantized input; STABILIZATION; NETWORKS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper addresses an adaptive control problem for a class of stochastic nonlinear multi-agent systems with quantized input. By using the backstepping design method, the distributed controller is designed for each of the agents, which only uses the agent's local state and the states of its neighbors. According to the graph theory and the stochastic analysis, it is proved that the proposed method can drive the agents to achieve consensus while all of the closed-loop systems remain bounded in probability. Finally, a numerical example is provided to show the effectiveness of the proposed method.
引用
收藏
页码：4931 / 4936
页数：6
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