Quantized H∞ Consensus of Multiagent Systems With Quantization Mismatch Under Switching Weighted Topologies

被引:40
作者
Guo, Xiang-Gui [1 ,2 ]
Wang, Jian-Liang [2 ]
Liao, Fang [3 ]
Wang, Dong [4 ]
机构
[1] Tianjin Univ Technol, Tianjin Key Lab Control Theory & Applicat Complic, Tianjin 300384, Peoples R China
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
[3] Natl Univ Singapore, Temasek Labs, Singapore 117508, Singapore
[4] Dalian Univ Technol, Sch Control Sci & Engn, Dalian 116024, Peoples R China
来源
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS | 2017年 / 4卷 / 02期
基金
中国国家自然科学基金;
关键词
Distributed control; Lipschitz nonlinearity; multiagent systems; quantized consensus; switching topologies; LINEAR-SYSTEMS; H-2; CONTROL; DISTRIBUTED CONSENSUS; INPUT QUANTIZATION; FILTER DESIGN; NETWORKS; SYNCHRONIZATION; ALGORITHM; AGENTS;
D O I
10.1109/TCNS.2015.2489338
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 investigates the distributed quantized H-infinity consensus problems for general linear and Lipschitz nonlinear multiagent systems with input quantization mismatch and external disturbances under switching weighted undirected or balanced directed topologies. The designed distributed quantized H-infinity consensus protocol can be divided into two parts which are linear and nonlinear parts. The linear part plays a role in achieving satisfactory performance against interval-bounded model uncertainties, external disturbances, and unknown initial states. The nonlinear part eliminates the effect of input quantization. It should be mentioned that complete consensus instead of practical consensus can be achieved in the presence of uniform quantization. In addition, instead of requiring the coupling strength among neighboring agents to be larger than a threshold value as in previous literature, the coupling strength in this paper can be determined by solving some linear matrix inequalities. Sufficient conditions for the existence of the proposed control strategy are also obtained by using the LMI technique. Finally, two numerical examples are presented to show the effectiveness and advantages of the proposed consensus strategy.
引用
收藏
页码:202 / 212
页数:11
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