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Springer电子图书(4)
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CNKI期刊论文0611(8)
知网期刊论文(1822)
在“
Elsevier电子期刊
”中,
命中:
641
条,耗时:0.0439791 秒
在所有数据库中总计命中:
5,424
条
1.
Real time
identification
of the internal combustion engine combustion parameters based on the vibration velocity signal
作者:
Xiuliang Zhao
;
Yong Cheng
;
cysgd@sdu.edu.cn
;
Limei Wang
;
Shaobo Ji
关键词:
Internal combustion engine
;
Vibration velocity signal
;
Combustion parameters
;
Real time
identification
;
Pattern recognition method
刊名:Journal of Sound and Vibration
出版年:2017
2.
ARX modeling of unstable linear systems
作者:
Miguel Galrinho
galrinho@kth.se
;
Niklas Everitt
neveritt@kth.se
;
Hå
;
kan Hjalmarsson
hjalmars@kth.se
关键词:
System
identification
;
Polynomial models
;
Closed
-
loop
identification
刊名:Automatica
出版年:2017
3.
Data-driven control of nonlinear systems: An on-line direct approach
作者:
Marko Tanaskovic
a
;
d
;
markotanaskovic@yahoo.co.uk
Author Vitae
;
Lorenzo Fagiano
b
;
1
;
lorenzo.fagiano@ch.abb.com
Author Vitae
;
Carlo Novara
c
;
carlo.novara@polito.it
Author Vitae
;
Manfred Morari
a
;
morari@control.ee.ethz.ch
Author Vitae
关键词:
Data-driven control
;
Dynamic inversion
;
Nonlinear control
;
Identification
for control
;
Adaptive control
刊名:Automatica
出版年:2017
4.
Parameter-based conditions for
closed
-
loop
system identifiability of ARX models with routine operating data
作者:
Yuri A.W. Shardt
a
;
b
;
yuri.shardt@ualberta.ca
;
Biao Huang
a
;
biao.huang@ualberta.ca
刊名:Journal of the Franklin Institute
出版年:2017
5.
Mathematical model for integrated coal fired thermal boiler using physical laws
作者:
Chandrasekharan Sreepradha
a
;
Rames Chandra Panda
b
;
rames.panda@gmail.com
;
panda@clri.res.in
;
Natrajan Swaminathan Bhuvaneswari
c
;
bhuvaneswarins@rediff.com
关键词:
Mathematical modeling
;
Parameter
identification
;
Coal-fired thermal power plant
;
Subcritical boiler
;
Simulation
刊名:Energy
出版年:2017
6.
Life cycle engineering of production, use and recovery of self-chilling beverage cans
作者:
Noemi Arena
;
noemi.arena@surrey.ac.uk
;
Philip Sinclair
;
Jacquetta Lee
;
Roland Clift
关键词:
Self-chilling systems
;
Activated carbon
;
Sustainable manufacturing
;
Life cycle engineering
;
Beverage cans
;
Closed
loop
use
刊名:Journal of Cleaner Production
出版年:2017
7.
Recursive least squares
identification
of hybrid Box-Jenkins model structure in open-
loop
and
closed
-
loop
作者:
Zhu Wang
a
;
b
;
jz21561@163.com" class="auth_mail" title="E-mail the corresponding author
;
Qibing Jin
a
;
Xiaoping Liu
b
关键词:
Hybrid Box&ndash
;
Jenkins
;
Recursive
identification
;
Auxiliary model
;
Delay compensation
;
Closed
-
loop
刊名:Journal of The Franklin Institute
出版年:2016
8.
A dynamic mathematical model of an ultra-supercritical coal fired once-through boiler-turbine unit
作者:
He Fan
;
Yu-fei Zhang
zhangyufly@seu.edu.cn
;
Zhi-gang Su
;
zhigangsu@seu.edu.cn
;
Ben Wang
关键词:
Once-through boiler
;
IGA
;
Mathematical model
;
Dynamic
;
Power plant
刊名:Applied Energy
出版年:2017
9.
An application-oriented approach to dual control with excitation for
closed
-
loop
identification
作者:
Christian A. Larsson
a
;
1
;
christian.y.larsson@scania.com" class="auth_mail" title="E-mail the corresponding author
;
Afrooz Ebadat
a
;
ebadat@kth.se" class="auth_mail" title="E-mail the corresponding author
;
Cristian R. Rojas
a
;
crro@kth.se" class="auth_mail" title="E-mail the corresponding author
;
Xavier Bombois
b
;
xavier.bombois@ec-lyon.fr" class="auth_mail" title="E-mail the corresponding author
;
Hå
;
kan Hjalmarsson
a
;
hjalmars@kth.se" class="auth_mail" title="E-mail the corresponding author
关键词:
Closed
-
loop
identification
;
Input design
;
System
identification
;
Constrained systems
;
Markov decision process
;
Model predictive control
刊名:European Journal of Control
出版年:2016
10.
A novel meta-cognitive fuzzy-neural model with backstepping strategy for adaptive control of uncertain nonlinear systems
作者:
Hai-Jun Rong
a
Author Vitae
;
Zhao-Xu Yang
a
Author Vitae
;
Pak Kin Wong
b
;
fstpkw@umac.mo
Author Vitae
;
Chi Man Vong
c
Author Vitae
;
Guang-She Zhao
a
Author Vitae
关键词:
Meta-cognitive learning
;
Backstepping control
;
Nonlinear systems
;
Fuzzy neural control
刊名:Neurocomputing
出版年:2017
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