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Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2400-2414
作者:
Li, Chao
;
Liu, Fagui
;
Wang, Bin
;
Chen, C. L. Philip
;
Tang, Xuhao
;
Jiang, Jun
;
Liu, Jie
收藏
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浏览/下载:98/0
  |  
提交时间:2023/11/17
Task analysis
Intelligent vehicles
Optimization
Processor scheduling
Vehicle dynamics
Heuristic algorithms
Costs
Deep reinforcement learning (DRL)
scheduling policy
tracking service
vehicular edge computing (VEC)
Adaptive Neural Control of a Class of Stochastic Nonlinear Uncertain Systems With Guaranteed Transient Performance
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 7, 页码: 2971-2981
作者:
Wang, Jianhui
;
Liu, Zhi
;
Zhang, Yun
;
Chen, C. L. Philip
;
Lai, Guanyu
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  |  
浏览/下载:212/0
  |  
提交时间:2020/08/03
Neural networks
Adaptive systems
Nonlinear systems
Backstepping
Transient analysis
Approximation error
Time-varying systems
Adaptive control
neutral network
nonlinear control
stochastic disturbance
transient performance
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:258/0
  |  
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
Adaptive Fuzzy Quantized Control for Nonlinear Systems With Hysteretic Actuator Using a New Filter-Connected Quantizer
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 3, 页码: 876-889
作者:
Wu, Honghui
;
Liu, Zhi
;
Zhang, Yun
;
Chen, C. L. Philip
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  |  
浏览/下载:204/0
  |  
提交时间:2020/03/30
Hysteresis
Actuators
Nonlinear systems
Fuzzy logic
Adaptive systems
Adaptation models
Actuator hysteresis
adaptive quantized control
backstepping technique
fuzzy logic systems (FLSs)
nonlinear systems
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 1, 页码: 10-24
作者:
Chen, C. L. Philip
;
Liu, Zhulin
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  |  
浏览/下载:199/0
  |  
提交时间:2019/12/16
Big data
big data modeling
broad learning system (BLS)
deep learning
incremental learning
random vector functional-link neural networks (RVFLNN)
single layer feedforward neural networks (SLFN)
singular value decomposition (SVD)
Formation Control With Obstacle Avoidance for a Class of Stochastic Multiagent Systems
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 卷号: 65, 期号: 7, 页码: 5847-5855
作者:
Wen, Guoxing
;
Chen, C. L. Philip
;
Liu, Yan-Jun
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  |  
浏览/下载:215/0
  |  
提交时间:2019/12/16
Directed topology
formation control
obstacle avoidance
stochastic multiagent system
H-infinity analysis
Adaptive neural network-based visual servoing control for manipulator with unknown output nonlinearities
期刊论文
INFORMATION SCIENCES, 2018, 卷号: 451, 页码: 16-33
作者:
Wang, Fujie
;
Liu, Zhi
;
Chen, C. L. P.
;
Zhang, Yun
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  |  
浏览/下载:187/0
  |  
提交时间:2019/12/16
Neural network-based control
Adaptive control
Unknown output nonlinearities
Robotic manipulator
Unknown dynamics
Discriminative graph regularized broad learning system for image recognition
期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2018, 卷号: 61, 期号: 11, 页码: 14
作者:
Jin, Junwei
;
Liu, Zhulin
;
Chen, C. L. Philip
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  |  
浏览/下载:196/0
  |  
提交时间:2019/12/16
broad learning system
deep learning
graph regularization
image recognition
feature extraction
incremental learning
Event-triggered fuzzy adaptive compensation control for uncertain stochastic nonlinear systems with given transient specification and actuator failures
期刊论文
FUZZY SETS AND SYSTEMS, 2019, 卷号: 365, 页码: 1-21
作者:
Wang, Jianhui
;
Liu, Zhi
;
Chen, C. L. Philip
;
Zhang, Yun
收藏
  |  
浏览/下载:187/0
  |  
提交时间:2019/12/16
Adaptive control
Actuator failure
Event-triggered
Stochastic nonlinear systems
Transient performance
Robust adaptive visual tracking control for uncertain robotic systems with unknown dead-zone inputs
期刊论文
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2019, 卷号: 356, 期号: 12, 页码: 6255-6279
作者:
Wang, Fujie
;
Liu, Zhi
;
Chen, C. L. Philip
;
Zhang, Yun
收藏
  |  
浏览/下载:177/0
  |  
提交时间:2019/12/16