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| Observer-Based Adaptive Robust Precision Motion Control of a Multi-Joint Hydraulic Manipulator 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1213-1226 作者: Zheng Chen; Shizhao Zhou; Chong Shen; Litong Lyu; Junhui Zhang; Bin Yao Adobe PDF(4624Kb)  |  收藏  |  浏览/下载:17/5  |  提交时间:2024/04/10 Hydraulic manipulator nonlinear adaptive observer parameter adaptation robust control |
| 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:10/1  |  提交时间:2024/04/10 Computer vision deep learning few-shot learning low-shot learning semantic segmentation zero-shot learning |
| Path-Following Control With Obstacle Avoidance of Autonomous Surface Vehicles Subject to Actuator Faults 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 956-964 作者: Li-Ying Hao; Gege Dong; Tieshan Li; Zhouhua Peng Adobe PDF(3761Kb)  |  收藏  |  浏览/下载:19/7  |  提交时间:2024/03/18 Actuator faults autonomous surface vehicle (ASVs) improved artificial potential function nonlinear state observer obstacle avoidance |
| Adaptive Sensor-Fault Tolerant Control of Unmanned Underwater Vehicles With Input Saturation 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 907-918 作者: Xuerao Wang; Qingling Wang; Yanxu Su; Yuncheng Ouyang; Changyin Sun Adobe PDF(3677Kb)  |  收藏  |  浏览/下载:20/7  |  提交时间:2024/03/18 Asymptotic stability fault-tolerant control input saturation robust integral of the sign of error unmanned underwater vehicle |
| 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:20/2  |  提交时间:2024/03/18 Data-based filter maximum likelihood estimation unknown covariance weighted maximum likelihood estimation weighted sum-of-norms clustering |
| Dynamic Event-Triggered Consensus Control for Input Constrained Multi-Agent Systems With a Designable Minimum Inter-Event Time 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 649-660 作者: Meilin Li; Yue Long; Tieshan Li; Hongjing Liang; C. L. Philip Chen Adobe PDF(5016Kb)  |  收藏  |  浏览/下载:55/23  |  提交时间:2024/02/19 Constrained input designable minimum inter-event time directed communication topology dynamic event-triggered mechanism MASs consensus control |
| A Dual Closed-Loop Digital Twin Construction Method for Optimizing the Copper Disc Casting Process 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 581-594 作者: Zhaohui Jiang; Chuan Xu; Jinshi Liu; Weichao Luo; Zhiwen Chen; Weihua Gui Adobe PDF(16387Kb)  |  收藏  |  浏览/下载:25/2  |  提交时间:2024/02/19 Copper disc casting machine digital twin (DT) mechanism modeling self-optimization |
| Fault Estimation for a Class of Markov Jump Piecewise-Affine Systems: Current Feedback Based Iterative Learning Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 418-429 作者: Yanzheng Zhu; Nuo Xu; Fen Wu; Xinkai Chen; Donghua Zhou Adobe PDF(5104Kb)  |  收藏  |  浏览/下载:32/12  |  提交时间:2024/01/23 Current feedback fault estimation iterative learning observer Markov jump piecewise-affine system |
| Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 301-328 作者: Yuchuang Tong; Haotian Liu; Zhengtao Zhang Adobe PDF(7587Kb)  |  收藏  |  浏览/下载:67/13  |  提交时间:2024/01/23 Future trends and challenges humanoid robots human-robot interaction key technologies potential applications |
| Reinforcement Learning in Process Industries: Review and Perspective 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 283-300 作者: Oguzhan Dogru; Junyao Xie; Om Prakash; Ranjith Chiplunkar; Jansen Soesanto; Hongtian Chen; Kirubakaran Velswamy; Fadi Ibrahim; Biao Huang Adobe PDF(1275Kb)  |  收藏  |  浏览/下载:37/13  |  提交时间:2024/01/23 Process control process systems engineering reinforcement learning |