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

被引:0
作者
Lee, Hea-Min [1 ]
Kwon, Wookyong [1 ]
Lee, Sangmoon [2 ]
Kang, Dongyeop [1 ]
机构
[1] Elect & Telecommun Res Inst, Smart Vehicles Lab, Daegu 42994, South Korea
[2] Kyungpook Natl Univ, Sch Elect Engn, Daegu 41566, South Korea
基金
新加坡国家研究基金会;
关键词
BAM NEURAL-NETWORKS; EXPONENTIAL SYNCHRONIZATION; STABILITY;
D O I
10.1155/2018/4931658
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页数:11
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