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科研机构
自动化研究所 [72]
内容类型
期刊论文 [59]
学位论文 [12]
会议论文 [1]
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2023 [3]
2022 [3]
2021 [4]
2020 [4]
2018 [6]
2017 [10]
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专题:自动化研究所
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Multistep Look-Ahead Policy Iteration for Optimal Control of Discrete-Time Nonlinear Systems With Isoperimetric Constraints
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13
作者:
Li, Tao
;
Wei, Qinglai
;
Wang, Fei-Yue
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浏览/下载:1/0
  |  
提交时间:2024/02/22
Performance analysis
Optimal control
Dynamic programming
Iterative algorithms
Upper bound
Measurement
Convergence
Adaptive dynamic programming (ADP)
isoperimetric constraints
nonlinear systems
optimal control
policy iteration
Robust Optimal Parallel Tracking Control Based on Adaptive Dynamic Programming
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2023, 页码: 14
作者:
Wei, Qinglai
;
Jiao, Shanshan
;
Wang, Fei-Yue
;
Dong, Qi
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  |  
浏览/下载:1/0
  |  
提交时间:2023/12/21
Optimal control
Control systems
Uncertainty
Robust control
Performance analysis
Dynamic programming
Uncertain systems
ADP
NN
nonlinear robust optimal control
parallel control
tracking control
Optimizing Polynomial-Time Solutions to a Network Weighted Vertex Cover Game
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 512-523
作者:
Jie Chen
;
Kaiyi Luo
;
Changbing Tang
;
Zhao Zhang
;
Xiang Li
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  |  
浏览/下载:21/0
  |  
提交时间:2023/01/16
Game-based asynchronous algorithm (GAA)
game optimization
polynomial time
strict Nash equilibrium (SNE)
weighted vertex cover (WVC)
IM2Vec: Representation learning-based preference maximization in geo-social networks
期刊论文
INFORMATION SCIENCES, 2022, 卷号: 604, 页码: 170-196
作者:
Jin, Ziwei
;
Shang, Jiaxing
;
Ni, Wancheng
;
Zhao, Liang
;
Liu, Dajiang
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  |  
浏览/下载:24/0
  |  
提交时间:2022/07/25
Influence maximization
Representation learning
Location-based social networks
Diffusion model
Reverse influence sampling
Graph matching based on fast normalized cut and multiplicative update mapping
期刊论文
PATTERN RECOGNITION, 2022, 卷号: 122, 页码: 11
作者:
Yang, Jing
;
Yang, Xu
;
Zhou, Zhang-Bing
;
Liu, Zhi-Yong
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浏览/下载:62/0
  |  
提交时间:2021/11/04
Graph matching
Fast normalized cut
Discrete constraint
Multiplicative update
An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 1, 页码: 77-86
作者:
Wang, Ding
;
Qiao, Junfei
;
Cheng, Long
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浏览/下载:27/0
  |  
提交时间:2022/03/17
Control design
Cost function
Optimal control
Nonlinear systems
Adaptive systems
Switches
Adaptive learning system
discount factor
guaranteed cost function
neuro-optimal control
uncertainty
Graph matching based point correspondence with alternating direction method of multipliers
期刊论文
NEUROCOMPUTING, 2021, 卷号: 462, 页码: 344-352
作者:
Yang, Jing
;
Yang, Xu
;
Zhou, Zhang-Bing
;
Liu, Zhi-Yong
;
Fan, Ming-Yu
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浏览/下载:41/0
  |  
提交时间:2021/11/03
Point correspondence
Graph matching
ADMM
Subproblems
Sliding-Mode Surface-Based Approximate Optimal Control for Uncertain Nonlinear Systems With Asymptotically Stable Critic Structure
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 6, 页码: 2858-2869
作者:
Zhao, Bo
;
Liu, Derong
;
Alippi, Cesare
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浏览/下载:54/0
  |  
提交时间:2021/08/15
Optimal control
Perturbation methods
Nonlinear systems
Uncertainty
Cost function
Stability analysis
Adaptive systems
Adaptive critic designs
adaptive dynamic programming (ADP)
optimal control
sliding mode surface (SMS)
unknown mismatched perturbations
Continuous-Time Distributed Policy Iteration for Multicontroller Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 5, 页码: 2372-2383
作者:
Wei, Qinglai
;
Li, Hongyang
;
Yang, Xiong
;
He, Haibo
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  |  
浏览/下载:63/0
  |  
提交时间:2021/06/07
Optimal control
Nonlinear systems
Decentralized control
Mathematical model
Convergence
Multi-agent systems
Adaptive dynamic programming (ADP)
approximate dynamic programming
distributed policy iteration
nonlinear systems
optimal control
Multiagent Reinforcement Learning:Rollout and Policy Iteration
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 249-272
作者:
Dimitri Bertsekas
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浏览/下载:20/0
  |  
提交时间:2021/04/09
Dynamic programming
multiagent problems
neuro-dynamic programming
policy iteration
reinforcement learning, rollout
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