DocumentCode
2418866
Title
On contraction analysis of synchronization of neuron networks
Author
Solís-Perales, G. ; Obregón-Pulido, G.
Author_Institution
Dept. de Electron., Univ. de Guadalajara, Guadalajara, Mexico
fYear
2011
fDate
1-4 Oct. 2011
Firstpage
1
Lastpage
5
Abstract
The synchronization of neuron networks using the contraction theory is reported in this contribution. The contraction theory provides a simple method to determine convergence of trajectories of the systems in the network instead of the Master Stability Function and the calculation of Lyapunov exponents. The objective is to determine the contraction region where once the trajectories reach such region they will converge each other and remain in such a contraction region. Such a condition lies mainly on the system parameters, network topology and coupling strength.
Keywords
Lyapunov methods; network topology; neural nets; stability; Lyapunov exponents; contraction analysis; contraction theory; coupling strength; master stability function; network topology; neuron network synchronization; system parameters; trajectory convergence; Complex networks; Convergence; Couplings; Neurons; Stability analysis; Synchronization; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics Symposium, 2011 IEEE IX Latin American and IEEE Colombian Conference on Automatic Control and Industry Applications (LARC)
Conference_Location
Bogota
Print_ISBN
978-1-4577-1689-8
Type
conf
DOI
10.1109/LARC.2011.6086840
Filename
6086840
Link To Document