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| DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog 会议论文 , 美国纽约, 2020.2 作者: Feilong Chen; Fandong Meng; Jiaming Xu; Peng Li; Bo Xu; Jie Zhou Adobe PDF(3052Kb)  |  收藏  |  浏览/下载:111/26  |  提交时间:2023/06/07 |
| Efficient cooperative structured control for a multi-joint biomimetic robotic fish 期刊论文 IEEE/ASME Transactions on Mechatronics, 2020, 卷号: 26, 期号: 5, 页码: 2506-2516 作者: Yan Shuaizheng; Wu Zhengxing; Wang Jian; Tan Min; Yu Junzhi Adobe PDF(2394Kb)  |  收藏  |  浏览/下载:80/27  |  提交时间:2023/05/31 |
| Multi-robot cooperative target encirclement through learning distributed transferable policy 会议论文 , Online, July 19-24 作者: Zhang Tianle; Liu Zhen; Wu Shiguang; Pu Zhiqiang; Yi Jianqiang Adobe PDF(949Kb)  |  收藏  |  浏览/下载:177/54  |  提交时间:2022/06/16 |
| Adaptive flocking of multi-agent system with uncertain nonlinear dynamics and unknown disturbances using neural networks 会议论文 , Online, August 20-21 作者: Shiguang Wu; Zhiqiang Pu; Jianqiang Yi; Jinlin Su; Tianyi Xiong; Tenghai Qiu Adobe PDF(2014Kb)  |  收藏  |  浏览/下载:159/54  |  提交时间:2022/04/06 |
| STGA-LSTM: A Spatial-Temporal Graph Attentional LSTM Scheme for Multi-Agent Cooperation 会议论文 , 线上, 2020-11 作者: Huimu Wang; Zhen Liu; Zhiqiang Pu; Jianqiang Yi Adobe PDF(916Kb)  |  收藏  |  浏览/下载:92/0  |  提交时间:2021/06/24 |
| Multi-Agent Formation Control with Obstacles Avoidance under Restricted Communication through Graph Reinforcement Learning 会议论文 , 线上, 2020.06 作者: Huimu, Wang; Tenghai, Qiu; Zhen, Liu; Zhiqiang, Pu; Jianqiang, Yi Adobe PDF(1461Kb)  |  收藏  |  浏览/下载:183/37  |  提交时间:2021/06/24 |
| A Soft Graph Attention Reinforcement Learning for Multi-Agent Cooperation 会议论文 , 线上, 2020-8 作者: Huimu Wang; Zhiqiang Pu; Zhen Liu; Jianqiang Yi; Tenghai Qiu Adobe PDF(815Kb)  |  收藏  |  浏览/下载:219/46  |  提交时间:2021/06/24 |
| Fixed-time observer based adaptive neural network time-varying formation tracking control for multi-agent systems via minimal learning parameter approach 期刊论文 IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 9, 页码: 1147-1157 作者: Xiong, Tianyi; Pu, Zhiqiang; Yi, Jianqiang; Tao, Xinlong 收藏  |  浏览/下载:308/0  |  提交时间:2020/07/06 neurocontrollers multi-agent systems Lyapunov methods closed loop systems nonlinear control systems time-varying systems adaptive control observers uncertain systems position control radial basis function networks robust control control system synthesis learning (artificial intelligence) minimal learning-parameter approach fixed-time CLSO time-varying formation tracking problem formation tracking control scheme multiagent systems time-varying formation tracking control problem model uncertainties velocity measurements radial basis function neural networks fixed-time cascaded leader state observer fixed-time observer-based adaptive neural network time-varying formation tracking control RBFNN-based adaptive control scheme |
| 仿生蹼推进水下作业机器人自主作业控制研究 学位论文 工学博士, 在线: 中国科学院大学, 2020 作者: 蔡明学 Adobe PDF(32012Kb)  |  收藏  |  浏览/下载:367/16  |  提交时间:2020/06/09 仿生推进 水下作业机器人 水下地形导航 非奇异终端滑模控制 水下自主抓取控制 非线性模型预测控制 |