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科研机构
自动化研究所 [14]
内容类型
期刊论文 [11]
会议论文 [3]
发表日期
2022 [1]
2021 [2]
2020 [2]
2019 [1]
2017 [3]
2016 [2]
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专题:自动化研究所
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Design and Hysteresis Modeling of a Miniaturized Elastomer-Based Clutched Torque Sensor
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 9
作者:
Sun, Ning
;
Cheng, Long
;
Xia, Xiuze
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/06/06
Clutch
elastic torque sensor
hysteresis modeling
mechanical design
rubber spring
A neural network-based model predictive controller for displacement tracking of piezoelectric actuator with feedback delays
期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 卷号: 18, 期号: 6, 页码: 11
作者:
Du, Zhangming
;
Zhou, Chao
;
Cao, Zhiqiang
;
Wang, Shuo
;
Cheng, Long
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2021/12/28
Piezoelectric actuator
neural network
displacement tracking
model predictive control
A real-time tracking controller for piezoelectric actuators based on reinforcement learning and inverse compensation
期刊论文
SUSTAINABLE CITIES AND SOCIETY, 2021, 卷号: 69, 页码: 9
作者:
Qin, Shijie
;
Cheng, Long
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2021/11/03
Piezoelectric actuators
Real-time tracking control
Reinforcement learning
Adaptive dynamic programming
Hysteresis compensation
An Adaptive Fuzzy Predictive Controller with Hysteresis Compensation for Piezoelectric Actuators
期刊论文
COGNITIVE COMPUTATION, 2020, 页码: 12
作者:
Wang, Ang
;
Cheng, Long
;
Yang, Chenguang
;
Hou, Zeng-Guang
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  |  
浏览/下载:18/0
  |  
提交时间:2020/06/22
Adaptive fuzzy model
Feedforward-feedback control
Hysteresis compensation
Model predictive control (MPC)
Piezoelectric actuators (PEAs)
A Survey on Modelling and Compensation for Hysteresis in High Speed Nanopositioning of AFMs: Observation and Future Recommendation
期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 479-501
作者:
Maniza Armin
;
Priyo Nath Roy
;
Sajal Kumar Das
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/02/22
Hysteresis
nonlinearities
piezoelectric actuator
smart actuator
atomic force microscope.
Neural Adaptive Event-Triggered Control for Nonlinear Uncertain Stochastic Systems With Unknown Hysteresis
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 11, 页码: 3300-3312
作者:
Wang, Jianhui
;
Liu, Zhi
;
Zhang, Yun
;
Chen, C. L. Philip
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/03/30
Actuators
Hysteresis
Nonlinear systems
Artificial neural networks
Adaptive systems
Stochastic systems
System performance
Actuator failure
adaptive control
event-triggered
neural networks (NNs)
stochastic nonlinear systems
unknown direction hysteresis
Laser Beam Pointing Control With Piezoelectric Actuator Model Learning
期刊论文
IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, 2017, 期号: 1, 页码: 1-11
作者:
Fangbo Qin
;
Zhang Dapeng(张大朋)
;
Dengpeng Xing
;
De Xu
;
Jianquan Li
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2018/10/08
Laser Beam Pointing Control
Model Learning
Piezoelectric Actuator (PEA)
Support Vector Machines (SVMs)
An Adaptive Takagi-Sugeno Fuzzy Model-Based Predictive Controller for Piezoelectric Actuators
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 4, 页码: 3048-3058
作者:
Cheng, Long
;
Liu, Weichuan
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2017/05/05
Adaptive
fuzzy modeling
hysteresis
model predictive control (MPC)
parallel distributed control
piezoelectric actuators (PEAs)
A Composite Controller for Piezoelectric Actuators with Model Predictive Control and Hysteresis Compensation
会议论文
Nanjing, China, 2017-09-22
作者:
Wang, Ang
;
Cheng, Long
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2018/05/04
Feedforward-feedback Control
Hysteresis Compensation
Model Predictive Control (Mpc)
Instantaneous Linearization
Piezoelectric Actuators (Peas)
An Inversion-Free Predictive Controller for Piezoelectric Actuators Based on a Dynamic Linearized Neural Network Model
期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2016, 卷号: 21, 期号: 1, 页码: 214-226
作者:
Liu, Weichuan
;
Cheng, Long
;
Hou, ZengGuan
;
Yu, Junzhi
;
Tan, Min
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2016/06/14
Dynamic linearization
hysteresis
model predictive control (MPC)
neural network modeling
piezoelectric actuators
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