EconPapers    
Economics at your fingertips  
 

Consensus of Heterogeneous Multi-Agent Systems with Intermittent Communication

Xu Lü (), Meng Shuanghe () and Chen Liang ()
Additional contact information
Xu Lü: School of Automation, Nanjing University of Science and Technology, Nanjing210094, China
Meng Shuanghe: School of Automation, Nanjing University of Science and Technology, Nanjing210094, China
Chen Liang: School of Automation, Nanjing University of Science and Technology, Nanjing210094, China

Journal of Systems Science and Information, 2017, vol. 5, issue 4, 328-342

Abstract: This paper studies consensus of a class of heterogeneous multi-agent systems composed of first-order and second-order agents with intermittent communication. For leaderless multi-agent systems, we propose a distributed consensus algorithm based on the intermittent information of neighboring agents. Some sufficient conditions are obtained to guarantee the consensus of heterogeneous multi-agent systems in terms of bilinear matrix inequalities (BMIs). Meanwhile, the relationship between communication duration and each control period is sought out. Moreover, the designed algorithm is extended to leader-following multi-agent systems without velocity measurements. Finally, the effectiveness of the main results is illustrated by numerical simulations.

Keywords: intermittent communication; multi-agent systems; consensus; bilinear matrix inequality (BMI); velocity measurements (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.21078/JSSI-2017-328-15 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:jossai:v:5:y:2017:i:4:p:328-342:n:4

DOI: 10.21078/JSSI-2017-328-15

Access Statistics for this article

Journal of Systems Science and Information is currently edited by Shouyang Wang

More articles in Journal of Systems Science and Information from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-19
Handle: RePEc:bpj:jossai:v:5:y:2017:i:4:p:328-342:n:4