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CAS IR Grid
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长春光学精密机械与... [23]
自动化研究所 [9]
沈阳自动化研究所 [3]
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会议论文 [29]
期刊论文 [9]
学位论文 [5]
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2022 [1]
2021 [2]
2020 [4]
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Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System
期刊论文
OAI收割
IEEE TRANSACTIONS ON COMPUTERS, 2022, 卷号: 71, 期号: 1, 页码: 209-222
作者:
Du, Zidong
;
Guo, Qi
;
Zhao, Yongwei
;
Zeng, Xi
;
Li, Ling
  |  
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2022/06/21
Deep learning
Central Processing Unit
Process control
Task analysis
Computational modeling
Pipelines
Runtime
Neural net accelerators
system architectures
interaction wall
PRECOM: A Parallel Recommendation Engine for Control, Operations, and Management on Congested Urban Traffic Networks
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 11
作者:
Jin, Junchen
;
Rong, Dingding
;
Pang, Yuqi
;
Zhu, Fenghua
;
Guo, Haifeng
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2022/01/27
Engines
Control systems
Urban areas
Process control
Roads
Generators
Spatiotemporal phenomena
Spatial-temporal recommender system
urban traffic control
parallel traffic management
human-in-the-loop system
A Novel Resilient Control Scheme for a Class of Markovian Jump Systems With Partially Unknown Information
期刊论文
OAI收割
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 10
作者:
Zhang, Kun
;
Su, Rong
;
Zhang, Huaguang
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2022/04/02
Games
Process control
Markov processes
Game theory
Actuators
System dynamics
Heuristic algorithms
Adaptive dynamic programming
integral reinforcement learning (IRL)
resilient control
zero-sum game
An appropriate technique for treating rural wastewater by a flow step feed system driven by wind-solar hybrid power
期刊论文
OAI收割
ENVIRONMENTAL RESEARCH, 2020, 卷号: 187, 页码: 1-8
作者:
Li, Pengyu
;
Zheng, Tianlong
;
Li, Lin
;
Ma, Yingqun
;
Sun, Xu
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/09/15
Rural wastewater
Biological contact oxidation process
Wind-solar hybrid power
Flow step feed system
Automatic control
Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 3017-3031
作者:
Chu, Fei
;
Liang, Tao
;
Chen, C. L. Philip
;
Wang, Xuesong
;
Ma, Xiaoping
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/09/07
Learning systems
Training
Heuristic algorithms
Neural networks
Automation
Process control
Control engineering
Broad learning system (BLS)
incremental learning algorithm
noise and outliers
weighted penalty factor
Design of a Robust Optimal Decentralized PI Controller Based on Nonlinear Constraint Optimization For Level Regulation: An Experimental Study
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 1, 页码: 187-199
作者:
Soumya Ranjan Mahapatro
;
Bidyadhar Subudhi
;
Sandip Ghosh
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/03/11
Decentralized control
multivariable system
process control
parameter uncertainty
robustness
Combined carrier phase and code phase passive radiation source localisation method
期刊论文
OAI收割
IET RADAR SONAR AND NAVIGATION, 2020, 卷号: 14, 期号: 1, 页码: 147-155
作者:
Li, Youyang
;
Wang, Xue
;
Lu, Xiaochun
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2020/11/09
Kalman filters
position control
direction-of-arrival estimation
Global Positioning System
nonlinear filters
time-of-arrival estimation
code phase passive radiation source localisation method
high-precision positioning method
arrival methods
carrier phase-based
positioning process
position tracking
times higher accuracy
TDOA method
positioning accuracy
traditional positioning method
combined carrier phase
time 4
0 s to 10
0 s
Adaptive output-feedback finite-time stabilisation of stochastic non-linear systems with application to a two-stage chemical reactor
期刊论文
OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 4, 页码: 534-542
作者:
Sui, Shuai
;
Chen, C. L. Philip
  |  
收藏
  |  
浏览/下载:95/0
  |  
提交时间:2019/07/12
chemical reactors
stochastic systems
control system synthesis
feedback
differential equations
adaptive control
uncertain systems
observers
stochastic processes
nonlinear control systems
stability
fuzzy control
control nonlinearities
probability
adaptive output-feedback finite-time stabilisation
two-stage chemical reactor
uncertain stochastic nonlinear system
unmeasured system variables
fuzzy logic systems
fuzzy state observer
stochastic differential equation
adaptive backstepping intelligent control
two-stage continuous stirred tank reactor process
controller design
single-input single-output system
SISO
probability
Implementation of a Production-Control System Using Integrated Automation ML and OPC UA
会议论文
OAI收割
Brescia, Italy, April 16-18, 2018
作者:
Xu AD(徐皑冬)
;
Ding, Yuemin
;
Hong, Seung Ho
;
Park, Tae Yang
;
Ye, Xun
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2018/09/30
process-control system
AutomationML
OPC UA
data exchange
information model
LABTM control system based on FPGA (EI CONFERENCE)
会议论文
OAI收割
2nd International Conference on Mechatronics and Applied Mechanics, ICMAM 2012, December 8, 2012 - December 9, 2012, Taiwan
作者:
Wang Y.
;
Yu P.
;
Yu P.
;
Wang Y.
;
Wang Y.
收藏
  |  
浏览/下载:153/0
  |  
提交时间:2013/03/25
This paper presents the digital PI control method for design and simulation of a high precision limited angle brushless torque motor control system in Field Programmable Gate Array device (FPGA). The direct drive structures which are widely applied in many servo control fields. Matlab Xilinx System GeneratorR toolbox based on Fixed-Point Arithmetic is used to design the digital PI controller using DSP architecture
plot the responses of the control system and generate the VHDL source code. The control system model consists of a digital PI
a real LABTM
and a real absolute Inductosyn
encoder to rpm and position blocks. Through loading generated codes in process of the simulation that built by the digital discrete model
it is verified that the rising time of current loop is only 1.2ms
and rate loop is 8ms
overshoot is rarely 4.2%. Finally
the comprehensive positioning accuracy of system can reach up to 5 arc sec
and the rate jitter achieves 5% with the 4 arc sec accuracy absolute Inductosyn. (2013) Trans Tech Publications
Switzerland.