Average-consensus Tracking for First-order Multi-agent Systems with Quantized Data

被引：0
|
作者：
Zhang, Yu [1 ]
Liu, Cheng-Lin [1 ]
机构：
[1] Jiangnan Univ, Inst Automat, Minist Educ, Key Lab Adv Proc Control Light Ind, Wuxi 214122, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020) | 2020年
基金：
中国国家自然科学基金;
关键词：
Constant reference signal; Average-consensus tracking; Quantized data; First-order multi-agent systems; CONTINUOUS-TIME; COORDINATION; NETWORKS; AGENTS;
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 the average-consensus tracking problem of first-order multi-agent systems with constant reference signals via exchanging quantized data, where the topology is balanced and strongly connected. By transforming the quantized consensus problem into the stability problem, a necessary and sufficient condition is obtained by using matrix analysis theory to guarantee that the multi-agent systems achieve the quantized consensus, and the final consensus state is the average value of constant reference signals. Numerical simulation examples are provided to illustrate the correctness of the results.
引用
收藏
页码：850 / 855
页数：6
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