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CNKI期刊论文0611(35)
在“
Elsevier电子期刊
”中,
命中:
388
条,耗时:0.1859139 秒
在所有数据库中总计命中:
16,500
条
1.
Event-triggered
distributed
state
estimation
for a class of time-varying systems over sensor networks with redundant channels
作者:
Hongli Dong
;
a
;
shiningdhl@gmail.com
;
shiningdhl@vip.126.com
;
Xianye Bu
a
;
Nan Hou
a
;
Yurong Liu
b
;
c
;
Fuad E. Alsaadi
c
;
Tasawar Hayat
c
;
d
关键词:
State
estimation
;
Redundant channels
;
Sensor networks
;
Time-varying systems
;
Event-triggered transmission
刊名:Information Fusion
出版年:2017
2.
H
∞
state
estimation
for artificial neural networks over redundant channels
作者:
Sunjie Zhang
a
;
zhang_sunjie@usst.edu.cn
Author Vitae
;
Derui Ding
a
Author Vitae
;
Guoliang Wei
a
Author Vitae
;
Yurong Liu
b
;
c
Author Vitae
;
Fuad E. Alsaadi
c
Author Vitae
关键词:
H&infin
;
state
estimator
;
Artificial neural networks
;
Infinite
distributed
delays
;
Redundant channels
刊名:Neurocomputing
出版年:2017
3.
Non-fragile mixed H
∞
and passive asynchronous
state
estimation
for Markov jump neural networks with randomly occurring uncertainties and sensor nonlinearity
作者:
Shicheng HuoAuthor Vitae
;
Mengshen ChenAuthor Vitae
;
Hao Shen
;
haoshen10@gmail.com
Author Vitae
关键词:
Markov jump neural networks
;
Randomly occurring uncertainties
;
Mixed H&infin
;
and passive asynchronous
state
estimation
;
Sensor nonlinearity
刊名:Neurocomputing
出版年:2017
4.
Controlling the renewable microgrid using semidefinite programming technique
作者:
Md Masud Rana
;
mdmasud.rana@student.uts.edu.au" class="auth_mail" title="E-mail the corresponding author
;
Li Li
;
Steven W. Su
关键词:
Communication network
;
Distributed
energy resource
;
Kalman filter
;
Semidefinite programming
;
State
estimation
;
Optimal control strategy
刊名:International Journal of Electrical Power & Energy Systems
出版年:2017
5.
Distributed
information-weighted Kalman consensus filter for sensor networks
作者:
Honghai Ji
a
;
jihonghai@gmail.com
Author Vitae
;
Frank L. Lewis
b
;
c
;
lewis@uta.edu
Author Vitae
;
Zhongsheng Hou
a
;
1
;
zhshhou@bjtu.edu.cn
Author Vitae
;
Dariusz Mikulski
d
;
dmikulski@gmail.com
Author Vitae
关键词:
Multi-agent systems
;
Sensor networks
;
Information-weighted consensus
;
Distributed
Kalman filters
刊名:Automatica
出版年:2017
6.
Stochastic link activation for
distributed
filtering under sensor power constraint
作者:
Wen Yang
a
;
weny@ecust.edu.cn
Author Vitae
;
Chao Yang
a
;
yangchao@ecust.edu.cn
Author Vitae
;
Hongbo Shi
a
;
hbshi@ecust.edu.cn
Author Vitae
;
Ling Shi
b
;
eesling@ust.hk
Author Vitae
;
Guanrong Chen
c
;
eegchen@cityu.edu.hk
Author Vitae
关键词:
Distributed
filtering
;
Sensor scheduling
;
Consensus
;
Convex optimization
刊名:Automatica
出版年:2017
7.
Degeneracy
estimation
in interference models on wireless networks
作者:
Neal McBride
a
;
b
;
mcbridne@tcd.ie
;
John Bulava
b
;
Carlo Galiotto
a
;
Nicola Marchetti
a
;
Irene Macaluso
a
;
Linda Doyle
a
关键词:
Potts model
;
Wang&ndash
;
Landau algorithm
;
Degeneracy
;
Interference modelling
;
Distributed
spectrum allocation
;
Future wireless networks operation and design
刊名:Physica A: Statistical Mechanics and its Applications
出版年:2017
8.
An adaptive Mealy machine model for monitoring crop status
作者:
Berk Ü
;
stü
;
ndağ
;
bustundag@itu.edu.tr
关键词:
plant phenology
;
monitoring
;
yield prediction
;
finite automata
;
Mealy machine
;
remote sensing
刊名:Journal of Integrative Agriculture
出版年:2017
9.
Distributed
Drive Electric Vehicle
State
Estimation
based on Extended Kalman Filter
作者:
Xue Xue
a
;
b
;
xuexue892385608@163.com
;
Wang Zhenpo
a
;
b
关键词:
state
estimation
;
distributed
drive electric vehicle
;
Extended Kalman Filter
刊名:Energy Procedia
出版年:2016
10.
Distributed
H
∞
state
estimation
for stochastic delayed 2-D systems with randomly varying nonlinearities over saturated sensor networks
作者:
Jinling Liang
;
a
;
jinlliang@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Zidong Wang
b
;
c
;
zidong.wang@brunel.ac.uk" class="auth_mail" title="E-mail the corresponding author
;
Tasawar Hayat
d
;
e
;
Ahmed Alsaedi
e
关键词:
Two-dimensional (2-D) systems
;
Distributed
state
estimation
;
H&infin
;
index
;
Randomly varying nonlinearities (RVNs)
;
Sensor saturation
刊名:Information Sciences
出版年:2016
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