Consensus of Hybrid Multi-Agent Systems

被引：325
|
作者：
Zheng, Yuanshi [1 ,2 ]
Ma, Jingying [1 ,2 ]
Wang, Long [3 ]
机构：
[1] Xidian Univ, Sch Mechanoelect Engn, Minist Educ, Key Lab Elect Equipment Struct Design, Xian 710071, Shaanxi, Peoples R China
[2] Xidian Univ, Sch Mechanoelect Engn, Ctr Complex Syst, Xian 710071, Shaanxi, Peoples R China
[3] Peking Univ, Coll Engn, Ctr Syst & Control, Beijing 100871, Peoples R China
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2018年 / 29卷 / 04期
关键词：
Consensus; continuous time; discrete time; hybrid multiagent systems; DOUBLE-INTEGRATOR DYNAMICS; FINITE-TIME CONSENSUS; VELOCITY-MEASUREMENTS; SWITCHING TOPOLOGIES; CONTAINMENT CONTROL; VARYING DELAYS; NETWORKS; AGENTS; ALGORITHMS; COORDINATION;
D O I：
10.1109/TNNLS.2017.2651402
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this brief, we consider the consensus problem of hybrid multiagent systems. First, the hybrid multiagent system is proposed, which is composed of continuous-time and discrete-time dynamic agents. Then, three kinds of consensus protocols are presented for the hybrid multiagent system. The analysis tool developed in this brief is based on the matrix theory and graph theory. With different restrictions of the sampling period, some necessary and sufficient conditions are established for solving the consensus of the hybrid multiagent system. The consensus states are also obtained under different protocols. Finally, simulation examples are provided to demonstrate the effectiveness of our theoretical results.
引用
收藏
页码：1359 / 1365
页数：7
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