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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：299/0  |  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  
Kinematic Analysis of an Under-actuated, Closed-loop Front-end Assembly of a Dragline Manipulator 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 527-538
作者:  Muhammad A. Wardeh;  Samuel Frimpong
浏览  |  Adobe PDF(1312Kb)  |  收藏  |  浏览/下载：146/58  |  提交时间：2021/02/22
Dragline mining manipulator  underactuated closed-loop mechanism  generalized speeds  Baumgarte′s stabilization technique (BST)  feedforward displacement.