Observer-based approach for identification of general complex dynamical networks

Author

Feng-Hua Jiang ; Jiang, Guo-Ping ; Liu, Hao

Author_Institution

Sch. of Autom., Nanjing Univ. of Posts & Telecommun., Nanjing, China

fYear

2010

fDate

26-28 May 2010

Firstpage

938

Lastpage

941

Abstract

This paper addresses the problem that how to identify the topology of complex dynamical networks. In this paper, we use the output variable, to be the feedback in order to identify the topology of a complex dynamical network. The global stability of the observer is analytical proved using the Lyapunov theory to show the asymptotically stable conditions can be achieved. Finally, a numerical simulation is given to show the effectiveness of the suggested approach.

Keywords

Lyapunov methods; asymptotic stability; complex networks; identification; large-scale systems; observers; Lyapunov theory; asymptotically stable conditions; feedback; general complex dynamical networks; global stability; identification; numerical simulation; observer; output variable; Asymptotic stability; Automation; Complex networks; Electronic mail; Hydrogen; Lyapunov method; Numerical simulation; Output feedback; Stability analysis; Telecommunication network topology; Complex Network; Lyapunov stability; Topology identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2010 Chinese

Conference_Location

Xuzhou

Print_ISBN

978-1-4244-5181-4

Electronic_ISBN

978-1-4244-5182-1

Type

conf

DOI

10.1109/CCDC.2010.5498088

Filename

5498088