Function Projective Synchronization in Complex Networks with Stochastic Effects via Hybrid Feedback Control

Yun Guo Jin; Shou Ming Zhong

doi:10.4028/www.scientific.net/AMM.511-512.1008

Paper Titles

Optimization Model of Minimum-Cost-Based Maintenance Schedules for Railway Signal Equipment
p.976

4-DOF Dynamic Model of the Container Crane Spreader
p.985

Chaos Control for the Unified Chaotic Systems
p.990

Based on PLC Control of Double Constant Pressure No Tower Water Supply System Design
p.1002

Function Projective Synchronization in Complex Networks with Stochastic Effects via Hybrid Feedback Control
p.1008

Current Sensor Active Fault Tolerance Control Based on Feedback Gain Reconfiguration
p.1012

Nonlinear Adaptive Tracking of the Steward Platform in Task Space
p.1017

Nonlinearity Mode Theory Foundation Research of EMP Coupling by Volterra Series
p.1022

PI Terminal Sliding Mode Control of Theodolite Aiming Chaotic Motor with Time Varying Parameters
p.1027

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 511-512Function Projective Synchronization in Complex...

Function Projective Synchronization in Complex Networks with Stochastic Effects via Hybrid Feedback Control

Abstract:

In this paper, the problem of function projective synchronization is investigated for complex networks with stochastic effects. A hybrid feedback control method is designed to achieve function projective synchronization for the complex networks. Using Gronwally' inequality, we obtain some conditions to guarantee that the complex networks can realize mean square synchronization and mean square exponential synchronization, respectively.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 511-512)

Pages:

1008-1011

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.511-512.1008

Citation:

Cite this paper

Online since:

February 2014

Authors:

Yun Guo Jin, Shou Ming Zhong

Keywords:

Complex Network, Function Projective Synchronization, Markovian Jump, Stochastic Effects

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] H. Du, P. Shi, N. Lü, Function projection synchronization in complex dynamical dynamical networks with time delay via hybrid feedback control, Nonlinear Anal. RWA 14 (2013) 1182-1190.

DOI: 10.1016/j.nonrwa.2012.09.009

Google Scholar

[2] T. Wang, W. Zhou, S. Zhao, Robust synchronization for stochastic delayed complex networks with switching topology and unmodeled dynamics via adaptive control approach, Commun Nonlinear Sci Numer Simul 18 (2013) 2097-(2016).

DOI: 10.1016/j.cnsns.2012.12.016

Google Scholar

[3] Y. Sun, W. Li, J. Ruan, generalized outer synchronization between complex dynamical networks with time delay and noise perturbation, Commun, Nonlinear, Sci Numer Simulat 18 (2013) 989- 998.

DOI: 10.1016/j.cnsns.2012.08.040

Google Scholar

[4] X. Mao, A note on the LaSalle-type theorems for stochastic differential delay equations, J. Math. Anal. Appl. 268 (2002) 125-142.

DOI: 10.1006/jmaa.2001.7803

Google Scholar

[5] J. L, J. Cao Synchronization-based approach for parameters identification in delayed chaotic neural networks Physica A, 382 (2007), pp.672-682.

DOI: 10.1016/j.physa.2007.04.021

Google Scholar