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Robot Navigation among External Autonomous Agents through Deep Reinforcement Learning using Graph Attention Network 会议论文
, Berlin, Germany, July 12-17, 2020
作者:  Zhang TL(张天乐);  Qiu TH(丘腾海);  Pu ZQ(蒲志强);  Liu Z(刘振);  Yi JQ(易建强)
Adobe PDF(496Kb)  |  收藏  |  浏览/下载：93/30  |  提交时间：2023/06/12
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：176/54  |  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
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