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科研机构
自动化研究所 [75]
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期刊论文 [66]
会议论文 [8]
学位论文 [1]
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2024 [3]
2023 [5]
2022 [11]
2021 [7]
2020 [9]
2019 [7]
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Set-Membership Filtering Approach to Dynamic Event-Triggered Fault Estimation for a Class of Nonlinear Time-Varying Complex Networks
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 638-648
作者:
Xiaoting Du
;
Lei Zou
;
Maiying Zhong
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浏览/下载:0/0
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提交时间:2024/02/19
Dynamic event-triggered mechanism (DETM)
fault estimation
nonlinear time-varying complex networks
set-membership filtering
unknown input observer
Finite-time Prescribed Performance Time-Varying Formation Control for Second-Order Multi-Agent Systems With Non-Strict Feedback Based on a Neural Network Observer
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1039-1050
作者:
Chi Ma
;
Dianbiao Dong
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浏览/下载:0/0
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提交时间:2024/03/18
Finite-time control
multi-agent systems
neural network
prescribed performance control
time-varying formation control
Autonomous Vehicle Platoons In Urban Road Networks: A Joint Distributed Reinforcement Learning and Model Predictive Control Approach
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 141-156
作者:
Luigi D’Alfonso
;
Francesco Giannini
;
Giuseppe Franzè
;
Giuseppe Fedele
;
Francesco Pupo
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  |  
浏览/下载:2/0
  |  
提交时间:2024/01/02
Distributed model predictive control
distributed reinforcement learning
routing decisions
urban road networks
Finite-time filtering of T-S fuzzy semi-Markov jump systems with asynchronous mode-dependent delays
期刊论文
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 卷号: 360, 期号: 16, 页码: 12707-12728
作者:
Ma, Chao
;
Fu, Hang
;
Wu, Wei
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浏览/下载:2/0
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提交时间:2024/02/22
Alterations of dynamic and static brain functional activities and integration in stroke patients
期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 9
作者:
Guo, Li
;
Zhao, Zixuan
;
Yang, Xu
;
Shi, Weiyang
;
Wang, Peng
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  |  
浏览/下载:2/0
  |  
提交时间:2023/12/21
stroke
dynamic amplitude of low-frequency fluctuation
static amplitude of low-frequency fluctuation
dynamic degree centrality
static degree centrality
Dynamic Multiaction Recognition and Expert Movement Mapping for Closed Pelvic Reduction
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 8, 页码: 8667-8678
作者:
Pan, Ming-Zhang
;
Deng, Ya-Wen
;
Li, Zhen
;
Chen, Yuan
;
Liao, Xiao-Lan
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浏览/下载:6/0
  |  
提交时间:2023/11/17
Action recognition
conv-BiLSTM
closed pelvic reduction
dynamic movement primitives
multimodal data fusion
surgeon movement mapping
Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13
作者:
Tian, Hu
;
Zhang, Xingwei
;
Zheng, Xiaolong
;
Zeng, Daniel Dajun
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浏览/下载:5/0
  |  
提交时间:2023/11/17
Gated recurrent unit
graph representation learning
learning dynamic dependencies
stock prediction system
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 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:38/0
  |  
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
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:19/0
  |  
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
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