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Computational Experiments for Complex Social Systems: Integrated Design of Experiment System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189
作者:  Xiao Xue;  Xiangning Yu;  Deyu Zhou;  Xiao Wang;  Chongke Bi;  Shufang Wang;  Fei-Yue Wang
Adobe PDF(11890Kb)  |  收藏  |  浏览/下载：65/8  |  提交时间：2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization 期刊论文
NEURAL NETWORKS, 2024, 卷号: 171, 页码: 186-199
作者:  Li, Jingwei;  Li, Yuan;  Tan, Jie;  Liu, Chengbao
Adobe PDF(2408Kb)  |  收藏  |  浏览/下载：87/10  |  提交时间：2024/03/26
Domain generalization  Semi-supervised learning  Active learning  
Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1022-1038
作者:  Xiao Xue;  Deyu Zhou;  Xiangning Yu;  Gang Wang;  Juanjuan Li;  Xia Xie;  Lizhen Cui;  Fei-Yue Wang
Adobe PDF(7239Kb)  |  收藏  |  浏览/下载：69/17  |  提交时间：2024/03/18
Agent-based modeling  computational experiments  cyber-physical-social systems (CPSS)  generative deduction  generative experiments  meta model  
Analysis of the influence of trust in opposing opinions: An inclusiveness-degree based Signed Deffuant-Weisbush model 期刊论文
INFORMATION FUSION, 2024, 卷号: 104, 页码: 11
作者:  Jiang, Bo;  Zhao, Yiyi;  Dong, Jianglin;  Hu, Jiangping
收藏  |  浏览/下载：79/0  |  提交时间：2024/02/22
Deffuant-Weisbush model  Inclusiveness-degree function  Signed network  Opinion formation  Black swan phenomenon  
Adaptive Tracking Control of Robotic Manipulators With Unknown Kinematics and Uncertain Dynamics 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 18
作者:  Tong, Yuchuang;  Liu, Jinguo;  Zhou, Hao;  Ju, Zhaojie;  Zhang, Xin
收藏  |  浏览/下载：116/0  |  提交时间：2023/11/16
Trajectory tracking  adaptive control  robotic manipulators  unknown kinematics model  uncertain dynamics  
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Chai, Jiajun;  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(2469Kb)  |  收藏  |  浏览/下载：62/3  |  提交时间：2023/11/16
Large-scale multiagent  neighboring communication  reinforcement learning (RL)  variational information flow  
Auditory Feature Driven Model Predictive Control for Sound Source Approaching 期刊论文
International Journal of Control, Automation, and Systems, 2023, 卷号: 22, 期号: 2, 页码: 1-14
作者:  Wang, Zhiqing;  Zou, Wei;  Zhang, Wei;  Ma, Hongxuan;  Zhang, Chi;  Guo, Yuxin
Adobe PDF(7966Kb)  |  收藏  |  浏览/下载：222/60  |  提交时间：2023/06/20
Source approaching control, interaural time difference, robotic audition, sound source localization.  
Velocity and input constrained distributed nash equilibrium seeking for multi-agent integrated game and control via event-triggered communication 期刊论文
NONLINEAR DYNAMICS, 2022, 卷号: 109, 页码: 2781-2798
作者:  Pu, Zhiqiang;  Ai, Xiaolin;  Yi, Jianqiang
Adobe PDF(1775Kb)  |  收藏  |  浏览/下载：308/39  |  提交时间：2022/07/25
Multi-agent systems  Integrated game and control  Velocity constraint  Input saturation  Event-triggered communication  
Image-Based Visual Servoing System for Components Alignment Using Point and Line Features 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11
作者:  Yan, Shaohua;  Tao, Xian;  Xu, De
Adobe PDF(1856Kb)  |  收藏  |  浏览/下载：250/15  |  提交时间：2022/06/10
Deep neural network  feature extraction  image-based visual servoing  interaction matrix  pose error estimation  robotic assembly system  
Adaptive Fault-tolerant Control for Trajectory Tracking and Rectification of Directional Drilling 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, 卷号: 20, 期号: 1, 页码: 334-348
作者:  Zhang, Chi;  Zou, Wei;  Cheng, Ningbo;  Gao, Junshan
Adobe PDF(3031Kb)  |  收藏  |  浏览/下载：266/37  |  提交时间：2022/03/17
Fault-tolerant control (FTC)  integral sliding mode control (ISMC)  neural network (NN)  nonlinear control system  reinforcement learning (RL)