EconPapers    
Economics at your fingertips  
 

H∞ consensus for nonlinear stochastic multi-agent systems with time delay

Jianping Zhou, Chengyan Sang, Xiao Li, Muyun Fang and Zhen Wang

Applied Mathematics and Computation, 2018, vol. 325, issue C, 41-58

Abstract: This paper is concerned with the problem of H∞ consensus for nonlinear stochastic multi-agent systems with time-delay. The objective is to design a dynamic output feedback protocol such that the multi-agent system reaches consensus in mean square and has a prescribed H∞ performance level. First, by transforming models, the H∞ consensus problem is converted to a standard H∞ control problem. Then, by using the Lyapunov–Krasovskii functional method and the generalized Itô’s formula, both delay-independent and delay-dependent stochastic bounded real lemmas are developed. Based on these, sufficient conditions on the existence of the desired dynamic output feedback protocol are presented in the form of linear matrix inequalities. Finally, two numerical examples are given to illustrate the effectiveness of the proposed results.

Keywords: Stochastic disturbance; Multi-agent system; Consensus; Time delay; Dynamic output feedback (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300317308792
Full text for ScienceDirect subscribers only

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:eee:apmaco:v:325:y:2018:i:c:p:41-58

DOI: 10.1016/j.amc.2017.12.020

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:apmaco:v:325:y:2018:i:c:p:41-58