Advanced sampled-data synchronization control for complex dynamical networks with coupling time-varying delays

2017 ◽  
Vol 420 ◽  
pp. 454-465 ◽  
Author(s):  
S.H. Lee ◽  
M.J. Park ◽  
O.M. Kwon ◽  
R. Sakthivel
Keyword(s):  
Complex Dynamical Networks ◽  
Data Synchronization ◽  
Synchronization Control ◽  
Time Varying ◽  
Sampled Data ◽  
Dynamical Networks ◽  
Coupling Time

scholarly journals Sampled-Data Synchronization for Complex Dynamical Networks with Time-Varying Coupling Delay and Random Coupling Strengths

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Jian-An Wang ◽  
Xin-Yu Wen
Keyword(s):  
Sampling Period ◽  
Complex Dynamical Networks ◽  
Data Synchronization ◽  
Linear Matrix ◽  
Time Varying ◽  
Sampled Data ◽  
Dynamical Networks ◽  
Coupling Delay ◽  
Coupling Strengths ◽  
Random Coupling

This paper is concerned with the problem of sampled-data synchronization for complex dynamical networks (CDNs) with time-varying coupling delay and random coupling strengths. The random coupling strengths are described by normal distribution. The sampling period considered here is assumed to be less than a given bound. By taking the characteristic of sampled-data system into account, a discontinuous Lyapunov functional is constructed, and a delay-dependent mean square synchronization criterion is derived. Based on the proposed condition, a set of desired sampled-data controllers are designed in terms of linear matrix inequalities (LMIs) that can be solved effectively by using MATLAB LMI Toolbox. Numerical examples are given to demonstrate the effectiveness of the proposed scheme.

scholarly journals Further Results on Sampled-Data Synchronization for Complex Dynamical Networks with Time-Varying Coupling Delay

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Hea-Min Lee ◽  
Wookyong Kwon ◽  
Sangmoon Lee ◽  
Dongyeop Kang
Keyword(s):  
Complex Dynamical Networks ◽  
Data Synchronization ◽  
Linear Matrix ◽  
Time Varying ◽  
Sampled Data ◽  
Dynamical Networks ◽  
Coupling Delay ◽  
Additional Degree ◽  
Weighting Matrix ◽  
Conditions Of Stability

This paper deals with the sampled-data synchronization problem for complex dynamical networks (CDNs) with time-varying coupling delay. To get improved results, two-sided free-weighting stabilization method is utilized with a novel looped functional taking the information of the present sampled states and next sampled states, which can more precisely account for the sawtooth shape of the sampling delay. Also, the quadratic generalized free-weighting matrix inequality (QGFWMI), which provides additional degree of freedom (DoF), is utilized to calculate the upper limit of the integral term. Based on the novel looped functional and QGFWMI, improved conditions of stability are derived from forms of linear matrix inequalities (LMIs). The numerical examples show the validity and effectiveness.

Sign in / Sign up

Export Citation Format

Share Document