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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
沈阳自动化研究所 [88]
采集方式
OAI收割 [88]
内容类型
期刊论文 [88]
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2022 [5]
2021 [13]
2020 [3]
2019 [12]
2018 [6]
2017 [13]
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共88条,第1-10条
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内容类型:期刊论文
专题:沈阳自动化研究所
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Context-aware scheduling and control architecture for cyber-physical production systems
期刊论文
OAI收割
Journal of Manufacturing Systems, 2022, 卷号: 62, 页码: 550-560
作者:
Wan GX(万广喜)
;
Dong XT(董晓婷)
;
Dong QW(董青卫)
;
He YP(贺云鹏)
;
Zeng P(曾鹏)
  |  
收藏
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浏览/下载:45/0
  |  
提交时间:2022/02/11
Context-aware
Ontology
Reasoning
Cyber-physical production systems
Optimization
Multi-agent deep reinforcement learning for end–edge orchestrated resource allocation in industrialwireless networks
期刊论文
OAI收割
Frontiers of Information Technology & Electronic Engineering, 2022, 卷号: 23, 期号: 1, 页码: 47-60
作者:
Liu XY(刘晓宇)
;
Xu C(许驰)
;
Yu HB(于海斌)
;
Zeng P(曾鹏)
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2022/01/27
Multi-agent deep reinforcement learning
End–edge orchestrated
Industrial wireless networks
Delay
Energy consumption
Differential evolution algorithm with dynamic multi-population applied to flexible job shop schedule
期刊论文
OAI收割
Engineering Optimization, 2022, 卷号: 54, 期号: 3, 页码: 387-408
作者:
  |  
收藏
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浏览/下载:34/0
  |  
提交时间:2021/03/14
Flexible job shop scheduling problem
differential evolution algorithm
multi-objective optimization
multiple subpopulations
strategy adaptation
Design and Motion Performance Analysis of Turbulent AUV Measuring Platform
期刊论文
OAI收割
Sensors, 2022, 卷号: 22, 期号: 2, 页码: 1-16
作者:
Nie YL(乜云利)
;
Song DL(宋大雷)
;
Wang ZY(王振宇)
;
Huang Y(黄琰)
;
Yang H(杨华)
  |  
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2022/01/20
AUV
CFD
Motion simulation
Sea-trials
Sensor integration
Turbulence measurements
An Efficient Online Trajectory Generation Method Based on Kinodynamic Path Search and Trajectory Optimization for Human-Robot Interaction Safety
期刊论文
OAI收割
Entropy, 2022, 卷号: 24, 期号: 5, 页码: 1-29
作者:
Liu HY(刘鸿雁)
;
Qu DK(曲道奎)
;
Xu F(徐方)
;
Du ZJ(杜振军)
;
Jia K(贾凯)
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/06/07
B-spline
human-robot interaction
kinodynamic path search
real-time collision avoidance
replanning
trajectory optimization
Intelligent decision-making of scheduling for dynamic permutation flowshop via deep reinforcement learning
期刊论文
OAI收割
Sensors (Switzerland), 2021, 卷号: 21, 期号: 3, 页码: 1-20
作者:
Yang SL(杨圣落)
;
Xu ZG(徐志刚)
;
Wang JY(王军义)
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收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/02/14
permutation flowshop scheduling problem
deep reinforcement learning
actor-critic
dynamic scheduling
real-time scheduling
new job arrival
tardiness cost
Unified Optimization for Multiple Active Object Recognition Tasks with Feature Decision Tree
期刊论文
OAI收割
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2021, 卷号: 103, 期号: 2, 页码: 1-15
作者:
Sun HB(孙海波)
;
Zhu F(朱枫)
;
Hao YM(郝颖明)
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/09/29
Active object recognition
Prior feature distribution table
Feature decision tree
Next best viewpoint
Continuous viewpoint planning in conjunction with dynamic exploration for active object recognition
期刊论文
OAI收割
Entropy, 2021, 卷号: 23, 期号: 12, 页码: 1-14
作者:
Sun HB(孙海波)
;
Zhu F(朱枫)
;
Kong YZ(孔研自)
;
Wang JY(王健宇)
;
Zhao PF(赵鹏飞)
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收藏
  |  
浏览/下载:16/0
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提交时间:2022/01/13
Active object recognition
Adaptive entropy regularization
Continuous viewpoint planning
Dynamic exploration
Proximal policy optimization
Intelligent scheduling and reconfiguration via deep reinforcement learning in smart manufacturing
期刊论文
OAI收割
International Journal of Production Research, 2021, 页码: 1-18
作者:
Yang SL(杨圣落)
;
Xu ZG(徐志刚)
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收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/08/03
Deep reinforcement learning
dynamic scheduling and reconfiguration
A2C
reconfigurable manufacturing system (RMS)
intelligent scheduling
dynamic job arrival
Steady-state sequence optimization with incremental input constraints in two-layer model predictive control
期刊论文
OAI收割
ISA Transactions, 2021, 页码: 1-15
作者:
Liu JB(刘建帮)
;
Sun HJ(孙浩杰)
;
Zhang, Yi
;
Hu JT(胡静涛)
;
Zou T(邹涛)
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收藏
  |  
浏览/下载:26/0
  |  
提交时间:2021/12/31
Steady-state sequence optimization
Incremental input constraints
Local steady-state optimization
Global optimality
Two-layer model predictive control