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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  
Estimation of human impedance and motion intention for constrained human-robot interaction 期刊论文
NEUROCOMPUTING, 2020, 卷号: 390, 页码: 268-279
作者:  Yu, Xinbo;  Li, Yanan;  Zhang, Shuang;  Xue, Chengqian;  Wang, Yu
收藏  |  浏览/下载：177/0  |  提交时间：2020/06/22
Human motion intention estimation  Impedance learning  Adaptive neural network control  Full-state constraints  Barrier Lyapunov functions  
Composite Learning Enhanced Robot Impedance Control 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 1052-1059
作者:  Sun, Tairen;  Peng, Liang;  Cheng, Long;  Hou, Zeng-Guang;  Pan, Yongping
收藏  |  浏览/下载：246/0  |  提交时间：2020/06/02
Impedance  Convergence  Robots  Stability criteria  Uncertainty  Parameter estimation  Adaptive control  composite adaptation  impedance control  learning control  parameter convergence  robot