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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 发表日期：2022    专题：自动化研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Component calibration and configuration planning in assembly automation with a parallel manipulator 期刊论文 ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2022, 卷号: 77, 页码: 12 作者:  Xing, Shiyu;  Wang, Zhe;  Hou, Jun;  Fan, Junfeng;  Jing, Fengshui 收藏  |  浏览/下载：24/0  |  提交时间：2022/07/25 Parallel manipulator  Component calibration  Angle-axis space  Configuration planning   A Robotic End-Effector for Screwing and Unscrewing Bolts From the Side 期刊论文 IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 4, 页码: 9793-9800 作者:  Tao, Rui;  Fan, Junfeng;  Jing, Fengshui;  Jun, Hou;  Xing, Shiyu 收藏  |  浏览/下载：37/0  |  提交时间：2022/09/19 Fasteners  End effectors  Robots  Torque  Mouth  Gears  Grippers  Screwing and unscrewing  grippers and other end-effectors  mechanism design  assembly   Removing Feasibility Conditions on Adaptive Neural Tracking Control of Nonlinear Time-Delay Systems With Time-Varying Powers, Input, and Full-State Constraints 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 4, 页码: 2553-2564 作者:  Guo, Chao;  Xie, Xue-Jun;  Hou, Zeng-Guang 收藏  |  浏览/下载：19/0  |  提交时间：2022/06/10 Nonlinear systems  Time-varying systems  Control design  Adaptive systems  Delay effects  Artificial neural networks  Automation  Feasibility conditions  input and full-state constraints  neural networks (NNs)  nonlinear systems  time-varying powers   Adaptive Fuzzy Asymptotic Tracking Control of State-Constrained High-Order Nonlinear Time-Delay Systems and Its Applications 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 3, 页码: 1671-1680 作者:  Wu, You;  Xie, Xue-Jun;  Hou, Zeng-Guang 收藏  |  浏览/下载：18/0  |  提交时间：2022/07/25 Adaptive fuzzy asymptotic tracking control  feasibility conditions  full-state constraints  high-order nonlinear time-delay systems   HackGAN: Harmonious Cross-Network Mapping Using CycleGAN With Wasserstein-Procrustes Learning for Unsupervised Network Alignment 期刊论文 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 14 作者:  Yang, Linyao;  Wang, Xiao;  Zhang, Jun;  Yang, Jun;  Xu, Yancai 收藏  |  浏览/下载：51/0  |  提交时间：2022/03/17 Task analysis  Optimization  Generative adversarial networks  Computational modeling  Automation  Training  Standards  Embedding  generative adversarial network  network alignment (NA)  optimal transport  unsupervised learning