中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
沈阳自动化研究所 [19]
采集方式
OAI收割 [19]
内容类型
期刊论文 [13]
会议论文 [5]
专利 [1]
发表日期
2021 [19]
学科主题
筛选
浏览/检索结果:
共19条,第1-10条
帮助
限定条件
发表日期:2021
专题:沈阳自动化研究所
第一署名单位
第一作者单位
通讯作者单位
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
提交时间升序
提交时间降序
题名升序
题名降序
作者升序
作者降序
发表日期升序
发表日期降序
基于5G的网控动态协同优化方法与架构
专利
OAI收割
申请日期: 2021-08-06, 公开日期: 2022-04-12
作者:
田宇
;
金曦
;
陈文谣
;
关锁玲
;
许驰
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/05/24
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)
  |  
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)
;
Fu SF(付双飞)
;
Kong YZ(孔研自)
  |  
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)
  |  
收藏
  |  
浏览/下载:16/0
  |  
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)
  |  
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)
  |  
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
Modeling and Optimization of Compensating Oil Viscous Power for a Deep-sea Electric Manipulator
期刊论文
OAI收割
IEEE Access, 2021, 卷号: 9, 页码: 13524-13531
作者:
Bai YF(白云飞)
;
Zhang QF(张奇峰)
;
Zhang AQ(张艾群)
  |  
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2021/02/14
Compensating oil viscous power
deep-sea electric manipulator
modi ed modeling
viscous power experiment
viscous power optimization
Research on Escape Strategy of Local Optimal Solution for Underwater Hexapod Robot Based on Energy Consumption Optimization
会议论文
OAI收割
Yantai, China, October 22-25, 2021
作者:
Sun YZ(孙英哲)
;
Zhang QF(张奇峰)
;
Zhang AQ(张艾群)
;
Ma XF(马秀峰)
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/11/08
Energy consumption
Gait
Path planning
Simulate annealing
Underwater hexapod robot
Research on emergency escape system of underground mine based on mixed reality technology
期刊论文
OAI收割
Arabian Journal of Geosciences, 2021, 卷号: 14, 期号: 8, 页码: 1-9
作者:
Jing HD(荆洪迪)
;
Zhang, Xin
;
Liu XB(柳小波)
;
Sun, Xiaoyu
;
Ma, Xinbo
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/05/10
Underground mines
Mixed reality
Human-computer interaction
Emergency escape
Dynamic optimization
Dynamic modeling and control of direct air-cooling condenser pressure considering couplings with adjacent systems
期刊论文
OAI收割
Energy, 2021, 卷号: 236, 页码: 1-16
作者:
Zhang, Yi
;
Liu, Jinfeng
;
Yang, Tingting
;
Liu JB(刘建帮)
;
Shen J(沈炯)
  |  
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2021/08/03
Condenser pressure control
Direct air-cooling generating unit
Zone economic model predictive control
Zone model predictive control