Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13040
Title: Consensus seeking in multi-agent systems with multiplicative measurement noises
Authors: Ni, YH
Li, X 
Keywords: Multi-agent system Consensus problem Multiplicative noise Singular stochastic differential equation
Issue Date: 2013
Publisher: Elsevier Science Bv
Source: Systems and control letters, 2013, v. 62, no. 5, p. 430-437 How to cite?
Journal: Systems and Control Letters 
Abstract: In this paper, the consensus problems of the continuous-time integrator systems under noisy measurements are considered. The measurement noises, which appear when agents measure their neighbors' states, are modeled to be multiplicative. By multiplication of the noises, here, the noise intensities are proportional to the absolute value of the relative states of an agent and its neighbor. By using known distributed protocols for integrator agent systems, the closed-loop system is described in the vector form by a singular stochastic differential equation. For the fixed and switching network topology cases, constant consensus gains are properly selected, such that mean square consensus and strong consensus can be achieved. Especially, exponential mean square convergence of agents' states to the common value is derived for the fixed topology case. In addition, asymptotic unbiased mean square average consensus and asymptotic unbiased strong average consensus are also studied. Simulations shed light on the effectiveness of the proposed theoretical results.
URI: http://hdl.handle.net/10397/13040
ISSN: 0167-6911
DOI: 10.1016/j.sysconle.2013.01.011
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

56
Last Week
1
Last month
1
Citations as of Aug 11, 2018

WEB OF SCIENCETM
Citations

46
Last Week
1
Last month
2
Citations as of Aug 17, 2018

Page view(s)

56
Last Week
0
Last month
Citations as of Aug 20, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.