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| A Data-Driven Real-Time Trajectory Planning and Control Methodology for UGVs Using LSTMRDNN 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1292-1294 作者: Kaiyuan Chen; Runqi Chai; Runda Zhang; Zhida Xing; Yuanqing Xia; Guoping Liu Adobe PDF(854Kb)  |  收藏  |  浏览/下载:32/12  |  提交时间:2024/04/10 |
| 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:22/4  |  提交时间:2024/04/10 Artificial society computational experiments model integration operation engine technology integration |
| Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1106-1126 作者: Wenqi Ren; Yang Tang; Qiyu Sun; Chaoqiang Zhao; Qing-Long Han Adobe PDF(12695Kb)  |  收藏  |  浏览/下载:16/2  |  提交时间:2024/04/10 Computer vision deep learning few-shot learning low-shot learning semantic segmentation zero-shot learning |
| Evolutionary Optimization Methods for High-Dimensional Expensive Problems: A Survey 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1092-1105 作者: MengChu Zhou; Meiji Cui; Dian Xu; Shuwei Zhu; Ziyan Zhao; Abdullah Abusorrah Adobe PDF(2100Kb)  |  收藏  |  浏览/下载:9/3  |  提交时间:2024/04/10 Evolutionary algorithm (EA) high-dimensional expensive problems (HEPs) industrial applications surrogate-assisted optimization |
| Intuitive Human-Robot-Environment Interaction With EMG Signals: A Review 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1075-1091 作者: Dezhen Xiong; Daohui Zhang; Yaqi Chu; Yiwen Zhao; Xingang Zhao Adobe PDF(5061Kb)  |  收藏  |  浏览/下载:18/6  |  提交时间:2024/04/10 Electromyography human-robot-environment interaction (HREI) human-robot interaction (HRI) semiautonomous sensory feedback |
| 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 Adobe PDF(3531Kb)  |  收藏  |  浏览/下载:52/14  |  提交时间:2024/03/18 Finite-time control multi-agent systems neural network prescribed performance control time-varying formation control |
| 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:29/7  |  提交时间:2024/03/18 Agent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model |
| A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 965-981 作者: Yong-Chao Li; Rui-Sheng Jia; Ying-Xiang Hu; Hong-Mei Sun Adobe PDF(10448Kb)  |  收藏  |  浏览/下载:22/8  |  提交时间:2024/03/18 Crowd density estimation linear feature calibration vision transformer weakly-supervision learning |
| Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 919-931 作者: Fei Ming; Wenyin Gong; Ling Wang; Yaochu Jin Adobe PDF(2091Kb)  |  收藏  |  浏览/下载:26/9  |  提交时间:2024/03/18 Constrained multi-objective optimization deep Q-learning deep reinforcement learning (DRL) evolutionary algorithms evolutionary operator selection |
| Data-Based Filters for Non-Gaussian Dynamic Systems With Unknown Output Noise Covariance 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 866-877 作者: Elham Javanfar; Mehdi Rahmani Adobe PDF(1291Kb)  |  收藏  |  浏览/下载:24/4  |  提交时间:2024/03/18 Data-based filter maximum likelihood estimation unknown covariance weighted maximum likelihood estimation weighted sum-of-norms clustering |