Dissipative Delay-Feedback Control for Nonlinear Stochastic Systems with Time-Varying Delay

被引:1
作者
Chen, Guici [1 ,2 ]
Zhou, Jianzhong [1 ]
Zhang, Yongchuan [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Hydropower & Informat Engn, Wuhan 430074, Peoples R China
[2] Wuhan Univ Sci & Technol, Hubei Prov Key Lab Syst Sci Met Proc, Wuhan 430081, Peoples R China
基金
中国博士后科学基金; 美国国家科学基金会;
关键词
RECURRENT NEURAL-NETWORKS; EXPONENTIAL STABILITY; H-2/H-INFINITY CONTROL; DYNAMICAL-SYSTEMS; STATE; STABILIZATION;
D O I
10.1155/2014/249860
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The dissipative delay-feedback control problems for nonlinear stochastic delay systems (NSDSs) based on dissipativity analysis are studied in this paper. Based on the Lyapunov stability theory and stochastic analysis technique, both delay-independent and delay-dependent dissipativity criteria are established as linear matrix inequalities- (LMIs-) based feasibility tests. The obtained results in this paper for the nominal systems include the available results on H-infinity approach and passivity for stochastic delay systems as special cases. The delay-dependent feedback controller is designed by considering the relationship among the time-varying delay, its lower and upper bound, and its differential without ignoring any terms, which effectively reduces the conservative. A numerical example is given to illustrate the theoretical developments.
引用
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页数:11
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