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在“
Elsevier电子期刊
”中,
命中:
84,993
条,耗时:0.0939491 秒
在所有数据库中总计命中:
93,628
条
1.
Operational modal analysis for slow linear
time
-
varying
structures based on moving window second order blind identification
作者:
Cheng Wang
a
;
b
;
1400214012@hqu.edu.cn
;
Jianying Wang
a
;
;
Tianshu Zhang
a
关键词:
Operational modal analysis
;
Time
-
varying
transient
;
Linear
time
-
varying
structure
;
Second order blind identification
;
Moving-window
;
Independent component analysis
刊名:Signal Processing
出版年:2017
2.
Time
-
varying
delays compensation algorithm for powertrain active damping of an electrified vehicle equipped with an axle motor during regenerative braking
作者:
Junzhi Zhang
a
;
b
;
jzhzhang@mail.tsinghua.edu.cn
;
Yutong Li
a
;
1
;
einstein_li@sina.com
;
Chen Lv
a
;
Jinfang Gou
c
;
Ye Yuan
a
;
1
关键词:
Electrified powertrain
;
Time
-
varying
delays compensation
;
Active damping
;
Regenerative braking
;
Cooperative control
刊名:Mechanical
System
s and Signal Processing
出版年:2017
3.
Time
-
varying
coefficient vector autoregressions model based on dynamic correlation with an application to crude oil and stock markets
作者:
Fengbin Lu
a
;
fblu@amss.ac.cn
;
Han Qiao
b
;
qiaohan@ucas.ac.cn
;
Shouyang Wang
b
;
sywang@amss.ac.cn
;
Kin Keung Lai
c
;
mskklai@cityu.edu.hk
;
Yuze Li
d
;
richardyz.li@mail.utoronto.ca
关键词:
Time
-
varying
coefficient VAR
;
Dynamic lagged correlation
;
Granger causality
;
Crude oil
;
Stock market
刊名:Environmental Research
出版年:2017
4.
Adaptive synchronization of delayed reaction-diffusion neural networks with unknown non-identical
time
-
varying
coupling strengths
作者:
Junmin Li
a
;
jmli@mail.xidian.edu.cn
Author Vitae
;
Chao He
a
Author Vitae
;
Weiyuan Zhang
b
Author Vitae
;
Minglai Chen
a
;
c
Author Vitae
关键词:
Nonidentical
time
-
varying
coupling strengths
;
Adaptive
;
Reaction-diffusion neural networks (RDNNs)
;
Asymptotic synchronization
;
Lyapunov-Krasovskii-like composite energy functional (CEF)
刊名:Neurocomputing
出版年:2017
5.
Synchronization transmission of spatiotemporal chaotic signal in the uncertain
time
-
varying
network
作者:
Ling Lü
;
;
luling1960@aliyun.com
;
Liansong Chen
;
Changhui Han
;
Lianjun Ge
;
Liyu Gao
关键词:
Synchronization transmission
;
Time
-
varying
network
;
Spatiotemporal chaos
;
Uncertain parameters
刊名:Physica A: Statistical Mechanics and its Applications
出版年:2017
6.
Realized volatility forecasting of agricultural commodity futures using the HAR model with
time
-
varying
sparsity
作者:
Fengping Tian
a
Author Vitae
;
Ke Yang
b
Author Vitae
;
Langnan Chen
c
;
lnscln@mail.sysu.edu.cn
Author Vitae
关键词:
Realized volatility
;
Forecast
;
HAR model
;
Time
-
varying
sparsity
;
Agricultural commodity futures
刊名:International Journal of Forecasting
出版年:2017
7.
Stochastic H
∞
filtering for neural networks with leakage delay and mixed
time
-
varying
delays
作者:
M. Syed Ali
a
;
R. Saravanakumar
a
;
b
;
Choon Ki Ahn
;
c
;
hironaka@korea.ac.kr
;
Hamid Reza Karimi
d
关键词:
H&infin
;
filtering
;
Leakage delay
;
Linear matrix inequality
;
Stochastic neural networks
;
Time
-
varying
delay
刊名:Information Sciences
出版年:2017
8.
Synchronization for coupled reaction-diffusion neural networks with and without multiple
time
-
varying
delays via pinning-control
作者:
Meng Xu
a
Author Vitae
;
Jin-Liang Wang
a
;
b
;
wangjinliang1984@163.com
Author Vitae
;
Pu-Chong Wei
a
Author Vitae
关键词:
Coupled neural networks
;
Time
-
varying
delays
;
Pinning control
;
Adaptive control
;
Synchronization
刊名:Neurocomputing
出版年:2017
9.
H
∞
control of Markov jump
system
s with
time
-
varying
delay and incomplete transition probabilities
作者:
Lingchun Li
a
;
b
;
lilingchun1985@126.com
;
Mouquan Shen
;
a
;
c
;
mouquanshen@gmail.com
;
Guangming Zhang
a
;
zgmchina@163.com
;
Shen Yan
a
;
yanshenzdh@163.com
关键词:
Markov jump
system
s
;
Time
-
varying
delay
;
Incomplete transition probabilities
刊名:Applied Mathematics and Computation
出版年:2017
10.
Wavelet estimation in
varying
coefficient models for censored dependent data
作者:
Xing-cai Zhou
a
;
b
;
c
;
xczhou@nuaa.edu.cn
;
Ying-zhi Xu
a
;
Jin-guan Lin
c
关键词:
Wavelet estimation
;
Varying
coefficient
;
Strong mixing
;
Censored data
刊名:Statistics & Probability Letters
出版年:2017
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