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科研机构
自动化研究所 [109]
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期刊论文 [71]
学位论文 [32]
会议论文 [6]
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2023 [3]
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2020 [9]
2019 [8]
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Adaptive Optimal Discrete-Time Output-Feedback Using an Internal Model Principle and Adaptive Dynamic Programming
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 131-140
作者:
Zhongyang Wang
;
Youqing Wang
;
Zdzisław Kowalczuk
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  |  
浏览/下载:1/0
  |  
提交时间:2024/01/02
Adaptive dynamic programming (ADP)
internal model principle (IMP)
output feedback problem
policy iteration (PI)
value iteration (VI)
Open set domain adaptation with latent structure discovery and kernelized classifier learning
期刊论文
NEUROCOMPUTING, 2023, 卷号: 531, 页码: 125-139
作者:
Tang, Yongqiang
;
Tian, Lei
;
Zhang, Wensheng
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  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Open set domain adaptation
Adaptive graph learning
Latent structure discovery
Kernelized classifier learning
Fully Distributed Nash Equilibrium Seeking for High-Order Players With Actuator Limitations
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1434-1444
作者:
Maojiao Ye
;
Qing-Long Han
;
Lei Ding
;
Shengyuan Xu
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  |  
浏览/下载:8/0
  |  
提交时间:2023/05/29
Actuator limitation
directed networks
games
Nash equilibrium
A Data-Driven Rutting Depth Short-Time Prediction Model With Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1918-1932
作者:
Zhuoxuan Li
;
Iakov Korovin
;
Xinli Shi
;
Sergey Gorbachev
;
Nadezhda Gorbacheva
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  |  
浏览/下载:8/0
  |  
提交时间:2023/09/07
Extreme learning machine algorithm with residual correction (RELM), metaheuristic optimization
oil-gas transportation
RIOHTrack
rutting depth
Monte Carlo-based reinforcement learning control for unmanned aerial vehicle systems
期刊论文
NEUROCOMPUTING, 2022, 卷号: 507, 页码: 282-291
作者:
Wei, Qinglai
;
Yang, Zesheng
;
Su, Huaizhong
;
Wang, Lijian
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  |  
浏览/下载:41/0
  |  
提交时间:2022/09/19
Reinforcement learning
Adaptive dynamic programming (ADP)
UAV control
Monte Carlo simulation
Neural networks
Deep patch learning algorithms with high interpretability for regression problems
期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 页码: 38
作者:
Huang, Yunhu
;
Chen, Dewang
;
Zhao, Wendi
;
Lv, Yisheng
;
Wang, Shiping
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  |  
浏览/下载:35/0
  |  
提交时间:2022/07/25
deep learning
deep patch learning fuzzy system
fuzzy C-means clustering
interpretability
maximum information coefficient (MIC)
Pearson's correlation coefficients (PCC)
A New Approach to Finite-Horizon Optimal Control for Discrete-Time Affine Nonlinear Systems via a Pseudolinear Method
期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2022, 卷号: 67, 期号: 5, 页码: 2610-2617
作者:
Wei, Qinglai
;
Zhu, Liao
;
Li, Tao
;
Liu, Derong
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  |  
浏览/下载:39/0
  |  
提交时间:2022/07/25
Time-varying systems
Nonlinear systems
Optimal control
Heuristic algorithms
Dynamic programming
Neural networks
Linear systems
Adaptive dynamic programming
approximate dynamic programming
finite horizon
nonlinear systems
optimal control
pseudolinear approximation
A New Neuro-Optimal Nonlinear Tracking Control Method via Integral Reinforcement Learning with Applications to Nuclear Systems
期刊论文
NEUROCOMPUTING, 2022, 卷号: 483, 页码: 361-369
作者:
Zhong, Weifeng
;
Wang, Mengxuan
;
Wei, Qinglai
;
Lu, Jingwei
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  |  
浏览/下载:15/0
  |  
提交时间:2022/06/10
Integral reinforcement learning
Nuclear power reactor
Nonlinear system
Optimal tracking control
Neural networks
Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 7, 页码: 1262-1272
作者:
Mingming Ha
;
Ding Wang
;
Derong Liu
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  |  
浏览/下载:11/0
  |  
提交时间:2022/06/27
Adaptive critic design
adaptive dynamic programming (ADP)
approximate dynamic programming
discrete-time nonlinear systems
reinforcement learning
stability analysis
tracking control
value iteration (VI)
Interval Type-2 Fuzzy Hierarchical Adaptive Cruise Following-Control for Intelligent Vehicles
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 9, 页码: 1658-1672
作者:
Hong Mo
;
Yinghui Meng
;
Fei-Yue Wang
;
Dongrui Wu
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  |  
浏览/下载:21/0
  |  
提交时间:2022/08/19
Adaptive cruise following-control (ACFC)
feedforward + fuzzy proportion integration (PI) feedback (F+FPIF)
type-2 fuzzy control
variable time headway
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