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A Non-Parametric Scheme for Identifying Data Characteristic Based on Curve Similarity Matching 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1424-1437
作者:  Quanbo Ge;  Yang Cheng;  Hong Li;  Ziyi Ye;  Yi Zhu;  Gang Yao
Adobe PDF(2544Kb)  |  收藏  |  浏览/下载:2/1  |  提交时间:2024/05/22
Curve similarity matching  Gaussian-like noise  non-parametric scheme  parzen window  
Attention Markets of Blockchain-based Decentralized Autonomous Organizations 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1370-1380
作者:  Juanjuan Li;  Rui Qin;  Sangtian Guan;  Wenwen Ding;  Fei Lin;  Fei-Yue Wang
Adobe PDF(1878Kb)  |  收藏  |  浏览/下载:3/1  |  提交时间:2024/05/22
Attention  decentralized autonomous organizations  Harberger tax  Stackelberg game  
Quantization and Event-Triggered Policy Design for Encrypted Networked Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 946-955
作者:  Yongxia Shi;  Ehsan Nekouei
Adobe PDF(1715Kb)  |  收藏  |  浏览/下载:25/7  |  提交时间:2024/03/18
Cyber-security  encrypted control  event-triggered control (ETC)  networked control systems (NCSs)  semi-homomorphic encryption  
A Fractional-Order Ultra-Local Model-Based Adaptive Neural Network Sliding Mode Control of n-DOF Upper-Limb Exoskeleton With Input Deadzone 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 760-781
作者:  Dingxin He;  HaoPing Wang;  Yang Tian;  Yida Guo
Adobe PDF(9812Kb)  |  收藏  |  浏览/下载:54/11  |  提交时间:2024/02/19
Adaptive control  input deadzone  model-free control  n-DOF upper-limb exoskeleton  neural network  
Noise-Tolerant ZNN-Based Data-Driven Iterative Learning Control for Discrete Nonaffine Nonlinear MIMO Repetitive Systems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 344-361
作者:  Yunfeng Hu;  Chong Zhang;  Bo Wang;  Jing Zhao;  Xun Gong;  Jinwu Gao;  Hong Chen
Adobe PDF(15857Kb)  |  收藏  |  浏览/下载:74/18  |  提交时间:2024/01/23
Adaptive control  control system synthesis  data-driven iterative learning control  neurocontroller  nonlinear discrete time systems  
Data-Driven Learning Control Algorithms for Unachievable Tracking Problems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 205-218
作者:  Zeyi Zhang;  Hao Jiang;  Dong Shen;  Samer S. Saab
Adobe PDF(1892Kb)  |  收藏  |  浏览/下载:119/72  |  提交时间:2024/01/02
Data-driven algorithms  incomplete information  iterative learning control  gradient information  unachievable problems  
Coupled Dynamics and Integrated Control for Position and Attitude Motions of Spacecraft: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2187-2208
作者:  Feng Zhang;  Guangren Duan
Adobe PDF(1737Kb)  |  收藏  |  浏览/下载:118/41  |  提交时间:2023/10/31
Coupled position and attitude dynamic modeling  integrated position and attitude control  position and attitude coupling analysis  spacecraft  space missions  
Cyclic-Pursuit-Based Circular Formation Control of Mobile Agents with Limited Communication Ranges and Communication Delays 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1860-1870
作者:  Boyin Zheng;  Cheng Song;  Lu Liu
Adobe PDF(2298Kb)  |  收藏  |  浏览/下载:73/34  |  提交时间:2023/08/10
Circular formation control  communication delays  cyclic pursuit  heterogeneous communication ranges  
Neural-Network-Based Adaptive Finite-Time Control for a Two-Degree-of-Freedom Helicopter System With an Event-Triggering Mechanism 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1754-1765
作者:  Zhijia Zhao;  Jian Zhang;  Shouyan Chen;  Wei He;  Keum-Shik Hong
Adobe PDF(10305Kb)  |  收藏  |  浏览/下载:108/27  |  提交时间:2023/07/20
Adaptive neural-network control  event-triggering mechanism (ETM)  finite time  two-degree-of-freedom helicopter  
Development of a Bias Compensating Q-Learning Controller for a Multi-Zone HVAC Facility 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 8, 页码: 1704-1715
作者:  Syed Ali Asad Rizvi;  Amanda J. Pertzborn;  Zongli Lin
Adobe PDF(4532Kb)  |  收藏  |  浏览/下载:140/63  |  提交时间:2023/07/20
HVAC control  optimal tracking  Q-learning  reinforcement learning (RL)