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自动化研究所 [9]
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期刊论文 [18]
发表日期
2019 [18]
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Adaptive Neural Network Control for Active Suspension Systems With Time-Varying Vertical Displacement and Speed Constraints
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 12, 页码: 9458-9466
作者:
Liu, Yan-Jun
;
Zeng, Qiang
;
Tong, Shaocheng
;
Chen, C. L. Philip
;
Liu, Lei
收藏
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浏览/下载:73/0
  |  
提交时间:2019/12/16
Active suspension systems (ASSs)
adaptive control
barrier Lyapunov function (BLF)
neural networks (NNs)
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
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浏览/下载:15/0
  |  
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
Addressing Sparsity in Deep Neural Networks
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2019, 卷号: 38, 期号: 10, 页码: 1858-1871
作者:
Zhou, Xuda
;
Du, Zidong
;
Zhang, Shijin
;
Zhang, Lei
;
Lan, Huiying
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  |  
浏览/下载:82/0
  |  
提交时间:2019/12/10
Accelerator
architecture
deep neural networks (DNNs)
sparsity
Output Tracking Control Based on Adaptive Dynamic Programming With Multistep Policy Evaluation
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2019, 卷号: 49, 期号: 10, 页码: 2155-2165
作者:
Luo, Biao
;
Liu, Derong
;
Huang, Tingwen
;
Liu, Jiangjiang
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浏览/下载:58/0
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提交时间:2019/12/16
Adaptive dynamic programming (ADP)
Bellman equation
heuristic dynamic programming
neural networks (NNs)
output tracking control
Optimized Adaptive Nonlinear Tracking Control Using Actor-Critic Reinforcement Learning Strategy
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 卷号: 15, 期号: 9, 页码: 4969-4977
作者:
Wen, Guoxing
;
Chen, C. L. Philip
;
Ge, Shuzhi Sam
;
Yang, Hongli
;
Liu, Xiaoguang
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浏览/下载:61/0
  |  
提交时间:2019/12/16
Lyapunov function
neural networks (NNs)
nonlinear systems
optimized tracking control
reinforcement learning (RL) of actor-critic architecture
An Instruction Set Architecture for Machine Learning
期刊论文
ACM TRANSACTIONS ON COMPUTER SYSTEMS, 2019, 卷号: 36, 期号: 3, 页码: 35
作者:
Chen, Yunji
;
Lan, Huiying
;
Du, Zidong
;
Liu, Shaoli
;
Tao, Jinhua
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浏览/下载:20/0
  |  
提交时间:2020/12/10
Neural Networks Enhanced Adaptive Admittance Control of Optimized Robot-Environment Interaction
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 7, 页码: 2568-2579
作者:
Yang, Chenguang
;
Peng, Guangzhu
;
Li, Yanan
;
Cui, Rongxin
;
Cheng, Long
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浏览/下载:73/0
  |  
提交时间:2019/07/11
Admittance control
neural networks (NNs)
observer
optimal adaptive control
robot-environment interaction
Adaptive Neural State-Feedback Tracking Control of Stochastic Nonlinear Switched Systems: An Average Dwell-Time Method
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 4, 页码: 1076-1087
作者:
Niu, Ben
;
Wang, Ding
;
Alotaibi, Naif D.
;
Alsaadi, Fuad E.
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  |  
浏览/下载:56/0
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提交时间:2019/12/16
Adaptive tracking control
average dwell time (ADT)
neural networks (NNs)
nonstrict-feedback structure
stochastic nonlinear systems
switched nonlinear systems
A Novel Neural-Network-Based Adaptive Control Scheme for Output-Constrained Stochastic Switched Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2019, 卷号: 49, 期号: 2, 页码: 418-432
作者:
Niu, Ben
;
Wang, Ding
;
Li, Huan
;
Xie, Xuejun
;
Alotaibi, Naif D.
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浏览/下载:62/0
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提交时间:2019/07/12
Adaptive control
neural network (NN)
nonlinear mapping
output constraints
stochastic switched systems
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 1, 页码: 295-305
作者:
Liu, Yan-Jun
;
Li, Shu
;
Tong, Shaocheng
;
Chen, C. L. Philip
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  |  
浏览/下载:46/0
  |  
提交时间:2019/07/12
Discrete-time systems
neural networks (NNs)
nonlinear systems
optimal control
reinforcement learning
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