|本期目录/Table of Contents|

[1]车艳,舒慧生.一类概率依赖的不完全测量非线性系统的H∞滤波[J].武汉工程大学学报,2011,(11):99-104.
　CHE Yan,SHU Hui sheng.Probabilitydependent H∞ fltering for a class ofnonlinear systems with incomplete measurements [J].Journal of Wuhan Institute of Technology,2011,(11):99-104.
点击复制

一类概率依赖的不完全测量非线性系统的H∞滤波(/HTML)
分享到：

《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
期数:
2011年11期
页码:
99-104
栏目:
机电与信息工程
出版日期:
2011-11-30

文章信息/Info

Title:
Probabilitydependent H∞ fltering for a class of
nonlinear systems with incomplete measurements
文章编号:
16742869(2011)11009906
作者:
车艳1; 2; 舒慧生2
1.莆田学院电子信息工程学系，福建 莆田 351100；2.东华大学信息学院，上海 201620
Author(s):
CHE Yan1; 2; SHU Huisheng2
1.Department of Electronics and Information Engineering,Putian University,Putian 351100,China;
2.College of Information Sciences and Technology,Donghua University,Shanghai 201620,China
关键词:
不完全测量; 测量数据丢失; 随机通讯时延; H∞滤波; 网络化控制系统
Keywords:
incomplete measurements; missing measurements; randomly occurring communication delays; H∞ filtering; networked control systems
分类号:
TP202
DOI:
-
文献标志码:
AAdoi:10.3969/j.issn.16742869.2011.11.025
摘要:
阐述了一类具有不完全测量的，随机离散非线性系统的H∞滤波问题．不完全测量信息包括了测量数据丢失和随机发生地通讯延时．通过一组Kronecker δ函数，采用一个测量输出方程同时描述了网络化控制系统中随机出现地通讯时延和测量数据丢失现象．文章的目的是使得对所有允许的时滞、测量数据丢失、随机非线性及系统内外部随机扰动，滤波误差动态系统满足均方指数稳定和H∞范数约束．最后，通过数值例子来证明文章所述H∞滤波器的有效性．
Abstract:
The  H∞ filtering problem is discussed for a class of nonlinear stochastic discrete systems with incomplete measurements.The considered incomplete measurements include both the missing measurements and the communication delays of random occurrences.By using a set of Kronecker delta functions,a unified measurement model is employed to describe the phenomena of random communication delays and missing measurements in networked control systems.The purpose of the problem addressed is to design an  H∞ filter such that,for all nonlinearities, incomplete measurements,internal and external disturbances,the filtering error dynamics is exponentially meansquare stable and the  H∞norm requirement is satisfied.A numerical example is given to illustrate the effectiveness of the proposed filter scheme.

参考文献/References:

［1］Zames G.Feedback and optimal sensitivity:model reference transformations,multiplicative seminorms,and approximate inverses［J］.IEEE Transactions on Automatic Contr,1981,26(2):301320.
［2］Nguang S K.Robust nonlinear H∞output feedback control［J］.IEEE Transactions on Automatic Control,1996,41(7):10031007.
［3］Nguang S K,Shi P.Nonlinear H∞ filtering of sampleddata systems［J］.Automatica,2000,36:303310.
［4］Berman N,Shaked U.H∞ control for discretetime nonlinear stochastic systems［J］.IEEE Transactions on Automatic Control,2006,51(6):10411046.
［5］Berman N,Shaked U.H∞like control for nonlinear stochastic systems［J］.Systems & Control Letters,2006,55(3):247257.
［6］Wang Z,Yang F,Ho D W C,et al.Robust H∞ filtering for stochstic timedelay systems with missing measurements［J］.IEEE Trans Signal Processing,2006,54:25792587.
［7］Dong H,Wang Z,Gao H.Robust H∞ filtering for a class of nonlinear networked systems with multiple stochastic communication delays and packet dropouts［J］.IEEE Trans Signal Processing,2010,58(4):19571966.
［8］Wang Z,Lam J,Ma L,et al.Varianceconstrained dissipative observerbased control for a class of nonlinear stochastic systems with degraded measurements［J］.Journal of Mathematical Analysis and Applications,2011,377:645658.
［9］Shen B,Wang Z,Hung Y S,et al.Distributed H∞ filtering for polynomial nonlinear stochastic systems in sensor networks［J］.IEEE Trans Industrial Electronics,2011,58(5):19711979.
［10］吴云韬，舒娟娟，黄龙庭，等.基于状态空间实现的EDS频率与时延联合估计［J］.武汉工程大学学报，2011，33(1)：7174.
［11］Doyle J,Glover K,Khargonekcar P,et al.Statespace solutions to the standard H2 and  H∞ control problems［J］.IEEE Transaction Automatic Control,1989,34(8):831847.
［12］Yaz E E,Yaz Y I.State estimation of uncertain nonlinear stochastic systems with general criteria［J］.Applied Mathematics Letters,2001,14(5):605610.
［13］Yang F,Wang Z,Ho D W C,et al.Robust H2 filtering for a class of systems with stochastic nonlinearities［J］.IEEE Transactions on Circuits and Systems II,2006,53(3):235239.
［14］He X,Wang Z,Zhou D.Networkbased robust fault detection with incomplete measurements［J］.International Journal of Adaptive Control and Signal Processing,2009,23:737756.

相似文献/References:

备注/Memo

备注/Memo:
-
更新日期/Last Update: