An Adaptive Filtering Approach to Estimate Genetic Regulatory Networks with Time-Varying Delay

被引：0
|
作者：
Wang, Zhenling [1 ]
Wang, Huanqing [1 ]
机构：
[1] Qingdao Univ, Inst Complex Sci, Qingdao 266071, Peoples R China
来源：
ADVANCES IN FUTURE COMPUTER AND CONTROL SYSTEMS, VOL 2 | 2012年 / 160卷
关键词：
Genetic regulatory network (GRN); stochastic stability; adaptive Filtering; system synchronization; time-varying delay; ROBUST STABILITY;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a class of nonlinear time delayed genetic regulatory networks (GRs) is investigated from an adaptive filtering approach. For GRNs with time-varying delays and uncertain noise disturbances, several adaptive laws are derived to ensure the stochastic stability of the error states between the unknown network and the estimated model. Based on Lyapunov stability theory, the proposed adaptive laws are demonstrated to be effective. A simulation example is provided to verify and visualize the theoretical results.
引用
收藏
页码：229 / 235
页数：7
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