File(s) not publicly available

State estimation for coupled output discrete-time complex network with stochastic measurements and different inner coupling matrices

journal contribution
posted on 06.12.2017, 00:00 authored by CX Fan, Fuwen YangFuwen Yang, Y Zhou
A state estimation problem is studied for a class of coupled outputs discrete-time networks with stochastic measurements, i.e., the measurements are missing and disturbed with stochastic noise. The considered networks are coupled with outputs rather than states, are coupled with different inner coupling matrices rather than identical inner ones. By using Lyapunov stability theory combined with stochastic analysis, a novel state estimation scheme is proposed to estimate the states of discrete-time complex networks through the available output measurements, where the measurements are stochastic missing and are disturbed with Brownian motions which are caused by data transmission among nodes due to communication unreliability. State estimation conditions are derived in terms of linear matrix inequalities (LMIs). A numerical example is provided to demonstrate the validity of the proposed scheme.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Volume

10

Issue

3

Start Page

498

End Page

505

Number of Pages

8

eISSN

2005-4092

ISSN

1598-6446

Location

Germany

Publisher

Springer

Language

en-aus

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

TBA Research Institute; University of Posts & Telecommunications, China;

Era Eligible

Yes

Journal

International journal of control, automation and systems.