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| Toward Coordination Control of Multiple Fish-Like Robots: Real-Time Vision-Based Pose Estimation and Tracking via Deep Neural Networks 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 12, 页码: 1964-1976 作者: Tianhao Zhang; Jiuhong Xiao; Liang Li; Chen Wang; Guangming Xie
Adobe PDF(40902Kb)  |   收藏  |  浏览/下载:127/14  |  提交时间:2021/09/03 Deep neural networks formation control multiple fish-like robots pose estimation pose tracking |
| An Optimal Control Strategy for Multi-UAVs Target Tracking and Cooperative Competition 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 12, 页码: 1931-1947 作者: Yiguo Yang; Liefa Liao; Hong Yang; Shuai Li
Adobe PDF(5876Kb)  |   收藏  |  浏览/下载:167/39  |  提交时间:2021/09/03 Artificial potential field (APF) fuzzy control higher-order differentiator optimal control strategy winner-take-all (WTA) |
| Adaptive Fuzzy Backstepping Tracking Control for Flexible Robotic Manipulator 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 12, 页码: 1923-1930 作者: Wanmin Chang; Yongming Li; Shaocheng Tong
Adobe PDF(1029Kb)  |   收藏  |  浏览/下载:157/52  |  提交时间:2021/09/03 Actuator saturation backstepping design command-filter technique flexible robotic manipulator fuzzy adaptive control |
| Static Force-Based Modeling and Parameter Estimation for a Deformable Link Composed of Passive Spherical Joints With Preload Forces 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 11, 页码: 1817-1826 作者: Gaofeng Li; Dezhen Song; Lei Sun; Shan Xu; Hongpeng Wang; Jingtai Liu
Adobe PDF(5110Kb)  |   收藏  |  浏览/下载:181/61  |  提交时间:2021/09/03 Deformable link parameters identification spherical joint with preload force static force-based model |
| A New Safety Assessment Method Based on Belief Rule Base With Attribute Reliability 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 11, 页码: 1774-1785 作者: Zhichao Feng; Wei He; Zhijie Zhou; Xiaojun Ban; Changhua Hu; Xiaoxia Han
Adobe PDF(6041Kb)  |   收藏  |  浏览/下载:124/42  |  提交时间:2021/09/03 Belief rule base (BRB) belief rule reduction reliability safety assessment structure adjustment |
| A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1627-1643 作者: Jun Tang ; Gang Liu; Qingtao Pan
Adobe PDF(5712Kb)  |   收藏  |  浏览/下载:147/36  |  提交时间:2021/09/03 Ant colony optimization (ACO) artificial bee colony (ABC) artificial fish swarm (AFS) bacterial foraging optimization (BFO) optimization particle swarm optimization (PSO) swarm intelligence |
| Distributed Resource Allocation via Accelerated Saddle Point Dynamics 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1588-1599 作者: Wen-Ting Lin; Yan-Wu Wang; Chaojie Li; Xinghuo Yu
Adobe PDF(1568Kb)  |   收藏  |  浏览/下载:138/54  |  提交时间:2021/09/03 Accelerated saddle point dynamic distributed resource allocation hyper-exponential stability power dispatch |
| Adaptive Attitude Control for Multi-MUAV Systems With Output Dead-Zone and Actuator Fault 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1567-1575 作者: Guowei Dong; Liang Cao; Deyin Yao; Hongyi Li; Renquan Lu
Adobe PDF(5912Kb)  |   收藏  |  浏览/下载:179/51  |  提交时间:2021/09/03 Disturbance observer fault-tolerant control (FTC) multi multi-rotor unmanned aerial vehicle (multi-MUAV) attitude systems neural networks (NNs) output dead-zone |
| Soft Robotics: Morphology and Morphology-inspired Motion Strategy 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1500-1522 作者: Fan Xu; Hesheng Wang
Adobe PDF(41738Kb)  |   收藏  |  浏览/下载:188/21  |  提交时间:2021/09/03 Soft continuum manipulator soft gripper soft mobile robot soft robot control method soft robot modeling method soft robotics |
| Distributed Subgradient Algorithm for Multi-Agent Optimization With Dynamic Stepsize 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1451-1464 作者: Xiaoxing Ren; Dewei Li; Yugeng Xi; Haibin Shao
Adobe PDF(2527Kb)  |   收藏  |  浏览/下载:116/37  |  提交时间:2021/06/11 Distributed optimization dynamic stepsize gradient method multi-agent networks |