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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：286/0  |  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  
The united adaptive learning algorithm for the link weights and shape parameter in RBFN for pattern recognition 期刊论文
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 1997, 卷号: 11, 期号: 6, 页码: 873-888
作者:  Huang, DS
收藏  |  浏览/下载：107/0  |  提交时间：2018/10/10
Neural Networks  Recognition  Radial Basis Function Network  Gaussian Kernel Function  Shape Parameter  Forgotten Factor  Recursive Least Squares  Adaptive Gradient Descending  One-dimensional Image  
Automated recognition of quasars based on adaptive radial basis function neural networks 期刊论文
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 卷号: 26, 期号: 2, 页码: 377-381
作者:  Zhao, MF;  Luo, AL;  Wu, FC;  Hu, ZY
收藏  |  浏览/下载：185/0  |  提交时间：2015/11/06
Galaxy  Quasar  Principal Component Analysis(Pca)  Radial Basis Function Neural Networks  K-means Clustering  Gradient Descent