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浏览/检索结果:
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出处:IEEE TRANSACTIONS ON CYBERNETICS
文献类型:期刊论文
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Removing Feasibility Conditions on Adaptive Neural Tracking Control of Nonlinear Time-Delay Systems With Time-Varying Powers, Input, and Full-State Constraints
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 4, 页码: 2553-2564
作者:
Guo, Chao
;
Xie, Xue-Jun
;
Hou, Zeng-Guang
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浏览/下载:401/0
  |  
提交时间:2022/06/10
Nonlinear systems
Time-varying systems
Control design
Adaptive systems
Delay effects
Artificial neural networks
Automation
Feasibility conditions
input and full-state constraints
neural networks (NNs)
nonlinear systems
time-varying powers
Self-Learning Robust Control Synthesis and Trajectory Tracking of Uncertain Dynamics
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 1, 页码: 278-286
作者:
Wang, Ding
;
Cheng, Long
;
Yan, Jun
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浏览/下载:257/0
  |  
提交时间:2022/03/17
Robust control
Optimal control
Cost function
Trajectory tracking
Nonlinear systems
Feedback control
Dynamical systems
Adaptive critic learning
control synthesis
neural networks
optimization
robust stabilization
tracking design
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:252/0
  |  
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
Data-Driven Finite-Horizon Approximate Optimal Control for Discrete-Time Nonlinear Systems Using Iterative HDP Approach
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 10, 页码: 2948-2961
作者:
Mu, Chaoxu
;
Wang, Ding
;
He, Haibo
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  |  
浏览/下载:263/0
  |  
提交时间:2019/12/16
Adaptive Dynamic Programming (Adp)
Data-driven Control
Finite-horizon Optimal Control
Heuristic Dynamic Programming (Hdp)
Learning Control
Neural Networks
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
;
Li, Zhijun
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  |  
浏览/下载:309/0
  |  
提交时间:2019/07/11
Admittance control
neural networks (NNs)
observer
optimal adaptive control
robot-environment interaction
Adaptive Critic Nonlinear Robust Control: A Survey
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3429-3451
作者:
Wang, Ding
;
He, Haibo
;
Liu, Derong
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Adobe PDF(1954Kb)
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浏览/下载:447/151
  |  
提交时间:2018/03/03
Adaptive Critic Designs
Adaptive/approximate Dynamic Programming (Adp)
Boundedness
Convergence
Neural Networks
Optimal Control
Reinforcement Learning
Robust Control
Stability
Improving the Critic Learning for Event-Based Nonlinear H-infinity Control Design
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3417-3428
作者:
Wang, Ding
;
He, Haibo
;
Liu, Derong
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Adobe PDF(1068Kb)
  |  
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  |  
浏览/下载:466/127
  |  
提交时间:2018/03/03
H-infinity Control
Adaptive Systems
Adaptive/approximate Dynamic Programming
Critic Network
Event-based Design
Learning Criterion
Neural Control
Discrete-Time Deterministic Q-Learning: A Novel Convergence Analysis
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 5, 页码: 1224-1237
作者:
Wei, Qinglai
;
Lewis, Frank L.
;
Sun, Qiuye
;
Yan, Pengfei
;
Song, Ruizhuo
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  |  
浏览/下载:240/0
  |  
提交时间:2017/02/23
Adaptive Critic Designs
Adaptive Dynamic Programming (Adp)
Approximate Dynamic Programming
Neural Networks (Nns)
Neuro-dynamic Programming
Optimal Control
Q-learning
Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 3, 页码: 840-853
作者:
Wei, Qinglai
;
Liu, Derong
;
Lin, Hanquan
;
Derong Liu
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Adobe PDF(2015Kb)
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  |  
浏览/下载:405/176
  |  
提交时间:2016/06/14
Adaptive Critic Designs
Adaptive Dynamic Programming (Adp)
Approximate Dynamic Programming
Neural Networks
Neuro-dynamic Programming
Optimal Control
Reinforcement Learning
Value Iteration
Finite-Approximation-Error-Based Optimal Control Approach for Discrete-Time Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2013, 卷号: 43, 期号: 2, 页码: 779-789
作者:
Liu, Derong
;
Wei, Qinglai
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  |  
浏览/下载:123/0
  |  
提交时间:2015/08/12
Adaptive Dynamic Programming (Adp)
Approximate Dynamic Programming
Finite Approximation Errors
Neural Networks
Optimal Control