Delay-dependent H∞ filtering for complex dynamical networks with time-varying delays in nonlinear function and network couplings

被引:22
作者
Revathi, V. M. [1 ]
Balasubramaniam, P. [1 ]
Ratnavelu, K. [2 ]
机构
[1] Deemed Univ, Gandhigram Rural Inst, Dept Math, Gandhigram 624302, Tamil Nadu, India
[2] Univ Malaya, Fac Sci, Inst Math Sci, Kuala Lumpur 50603, Malaysia
关键词
Complex dynamical networks; Coupling delay; Kronecker product; Reciprocally convex approach; H-infinity filtering; Linear matrix inequality; STATE ESTIMATION; NEURAL-NETWORKS; SYNCHRONIZATION; SYSTEMS; DISCRETE; STABILITY;
D O I
10.1016/j.sigpro.2015.06.017
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper investigates the H-infinity filtering problem for a class of continuous-time complex dynamical networks with time-varying delays in nonlinear function and network couplings. The aim of the addressed problem is to design a H-infinity filter against the exogenous disturbances, such that the filtering error system of complex dynamical networks is asymptotically stable and guarantees the desired H-infinity performance attenuation level. Based on the Lyapunov stability theory, suitable Lyapunov-Krasovskii functional is constructed in terms of Kronecker product, furthermore, new delay-dependent sufficient stability conditions are derived in terms of linear matrix inequalities by using reciprocal convex combination approach to obtain less conservative results. Finally, numerical examples are exploited to demonstrate the effectiveness of the proposed theoretical results. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:122 / 132
页数:11
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