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知网期刊论文(14762)
在“
Elsevier电子期刊
”中,
命中:
1,102
条,耗时:0.1139465 秒
在所有数据库中总计命中:
40,147
条
1.
An optimal adaptive robust PID controller subject to fuzzy rules and sliding modes for MIMO uncertain chaotic
systems
作者:
M.J. Mahmoodabadi
a
;
mahmoodabadi@sirjantech.ac.ir
;
mahmoodabadi@guilan.ac.ir
Author Vitae
;
R. Abedzadeh Maafi
b
Author Vitae
;
M. Taherkhorsandi
c
Author Vitae
关键词:
Adaptive robust controller
;
PID controller
;
Sliding mode controller
;
Multi
-objective genetic algorithm
;
Fuzzy rules
;
MIMO uncertain chaotic
systems
;
Robot
manipulator
;
Duffing-Holmes oscillator
刊名:Applied Soft Computing
出版年:2017
2.
Cooperative mapping of unknown environments by
multi
ple heterogeneous mobile
robot
s with limited sensing
作者:
Ellips Masehian
;
masehian@modares.ac.ir
Author Vitae
;
Marjan JannatiAuthor Vitae
;
Taher HekmatfarAuthor Vitae
关键词:
Mapping
;
Limited sensing
;
Unknown environment
;
Information space
;
Multi
robot
navigation
刊名:
Robot
ics and Autonomous
Systems
出版年:2017
3.
Path planning of
multi
-agent
systems
in unknown environment with neural kernel smoothing and reinforcement learning
作者:
David Luviano CruzAuthor Vitae
;
Wen Yu
;
yuw@ctrl.cinvestav.mx
Author Vitae
关键词:
Multi
-agent
;
Kernel smoothing
;
Reinforcement learning
刊名:Neurocomputing
出版年:2017
4.
Distributed sampled-data control of nonholonomic
multi
-
robot
systems
with proximity networks
作者:
Zhixin Liu
a
;
Lzx@amss.ac.cn
Author Vitae
;
Lin Wang
b
;
wanglin@sjtu.edu.cn
Author Vitae
;
Jinhuan Wang
c
;
jinhuan@hebut.edu.cn
Author Vitae
;
Daoyi Dong
d
;
daoyidong@gmail.com
Author Vitae
;
Xiaoming Hu
e
;
hu@kth.se
Author Vitae
关键词:
Distributed control
;
Unicycle
;
Synchronization
;
Sampled-data
;
Hybrid system
;
Leader&ndash
;
follower model
刊名:Automatica
出版年:2017
5.
Piezoelectric vibration-driven locomotion
systems
- Exploiting resonance and bistable dynamics
作者:
Hongbin Fang
;
hongbinf@umich.edu
;
K.W. Wang
关键词:
Micro
robot
;
Snap-through
;
Inter-well oscillation
;
Basin of attraction
;
Basin stability
刊名:Journal of Sound and Vibration
出版年:2017
6.
Frameless Stereotactic
Robot
-Assisted Subthalamic Nucleus Deep Brain Stimulation: Case Report
作者:
Sumeet Vadera
1
;
Alvin Chan
1
;
Thomas Lo
1
;
Amandip Gill
1
;
Anna Morenkova
2
;
Nicolas M. Phielipp
2
;
Neal Hermanowicz
2
;
Frank P.K. Hsu
1
;
fpkhsu@uci.edu
关键词:
Deep brain stimulation
;
Frameless
;
Robot
stereotactic assistance
;
ROSA
刊名:World Neurosurgery
出版年:2017
7.
Cooperative minimum expected length planning for
robot
formations in stochastic maps
作者:
Pablo Urcola
;
urcola@unizar.es
Author Vitae
;
Marí
;
a T. Lá
;
zaro
mtlazaro@unizar.es
Author Vitae
;
José
;
A. Castellanos
jacaste@unizar.es
Author Vitae
;
Luis Montano
montano@unizar.es
Author Vitae
关键词:
Planning under uncertainty
;
Stochastic maps
;
Cooperative formations localization and navigation
;
Hybrid architecture
刊名:
Robot
ics and Autonomous
Systems
出版年:2017
8.
Development of a novel cloud-based
multi
-tenant model creation service for automatic virtual metrology
作者:
Min-Hsiung Hung
a
;
hmx4@faculty.pccu.edu.tw
;
Yu-Yung Li
b
;
Yu-Chuan Lin
b
;
Chun-Fan Wei
b
;
Haw-Ching Yang
c
;
Fan-Tien Cheng
b
关键词:
Automatic virtual metrology (AVM)
;
Multi
-tenant
;
Cloud-based model creation service
;
VM model
;
CNC machine tool
;
Machining of wheel rim
刊名:
Robot
ics and Computer-Integrated Manufacturing
出版年:2017
9.
Estimating performance in a
Robot
ic Mobile Fulfillment System
作者:
T. Lamballais
;
a
;
lamballaistessensohn@rsm.nl" class="auth_mail" title="E-mail the corresponding author
;
D. Roy
b
;
M.B.M. De Koster
a
关键词:
Facilities planning and design
;
Queueing
;
Robot
s
;
Mobile fulfillment
;
Material handling
刊名:European Journal of Operational Research
出版年:2017
10.
A fault tolerant architecture for data fusion: A real application of Kalman filters for mobile
robot
localization
作者:
Kaci Bader
;
kaci.bader@hds.utc.fr
;
Author Vitae
;
Benjamin Lussier
benjamin.lussier@hds.utc.fr
Author Vitae
;
Walter Schö
;
n
walter.schon@hds.utc.fr
Author Vitae
关键词:
Data fusion
;
Multi
-sensor perception
;
Dependability
;
Fault tolerance
刊名:
Robot
ics and Autonomous
Systems
出版年:2017
1
2
3
4
5
6
7
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