Title :
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
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;
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
DOI :
10.1109/CCDC.2010.5498088
