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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：262/0  |  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