基于事件触发离散基因调控网络的状态估计  

Event-triggered state estimation for discrete-time genetic regulatory networks

作　　者：高晶晶 李志林 尹小舟[3] 戴娟[4] GAO Jingjing;LI Zhilin;YIN Xiaozhou;DAI Juan(School of Mathematical Sciences,Yangzhou University,Yangzhou 225002,China;Changzhou University Huaide College,Changzhou 213016,China;Lianyungang Technical College,Lianyungang 222006,China;Department of Basic Course,Changzhou College of Information Technology,Changzhou 213164,China)

机构地区：[1]扬州大学数学科学学院,江苏扬州225002 [2]常州大学怀德学院,江苏常州213016 [3]连云港职业技术学院,江苏连云港222006 [4]常州信息职业技术学院基础课部,江苏常州213164

出　　处：《扬州大学学报（自然科学版）》2018年第4期4-8,共5页Journal of Yangzhou University：Natural Science Edition

基　　金：国家自然科学基金资助项目(61773017)

摘　　要：为了节省网络通信资源,在状态估计器的构造中引进事件触发机制,通过构造李雅普诺夫泛函,并利用新的分析技术,得到估计误差系统最终有界的充分条件,在此基础上进一步解决了状态估计的实际问题.数值模拟验证了理论结果的有效性.In this paper,the problem of state estimation for genetic regulatory network with noise is studied.In order to save network communication resources,event-triggered mechanism is introduced when using the state estimator.By constructing Lyapunov functionals and some new analytical techniques,a sufficient condition for the ultimate bounded estimation error system is derived.On this basis,the actual problem of state estimation is further solved.The validity of the theoretical results is verified by numerical simulation.

关 键 词：基因调控网络 状态估计 事件触发机制 最终有界 

分 类 号：O193[理学—数学]