Event-triggered consensus for multi-agent networks with switching topology under quantized communication

详细信息    查看全文

• 作者：Xin Chen^a ; ^b ; ^{richard_chen@126.com}Author Vitae ; Xiaofeng Liao^a ; ^{xiaofliao@163.com}Author Vitae ; Lan Gao^a ; ^{gaoblan@126.com}Author Vitae ; Shasha Yang^a ; ^{ysscqu@163.com}Author Vitae ; Huiwei Wang^c ; ^{huiwei.wang@gmail.com}Author Vitae ; Huaqing Li^c ; ^{huaqingli@hotmail.com}Author Vitae
• 关键词：Average consensus ; Distributed event-triggering ; Switching topologies ; Data quantization ; Limited communication channel ; Multi-agent networks
• 刊名：Neurocomputing
• 出版年：2017
• 出版时间：22 March 2017
• 年：2017
• 卷：230
• 期：Complete
• 页码：294-301
• 全文大小：927 K
• 卷排序：230

文摘

The main purpose of this paper is to study average consensus problems in multi-agent networks with switching topologies under digital communication channels. A novel communication framework that can smoothly combine the quantization scheme and event-triggered strategy is developed, which apparently improves the communication efficiency of networks. In pursuit of saving the network resource and reducing the computational load of microprocessors embedded in all agents, a specifically designed distributed event-triggered strategy is proposed for well treatment with consensus problems in digital networks with switching topologies. Furthermore, we also prove that the average consensus of networks is asymptotically achieved, and the states evolution of all agents is well. Finally, some numerical simulations are given to illustrate the correctness of the theoretical results and the feasibility of presented protocols.