Adaptive neural tracking control of pure-feedback nonlinear systems

@article{Zhang2012AdaptiveNT,
  title={Adaptive neural tracking control of pure-feedback nonlinear systems},
  author={Tianping Zhang and Xiaocheng Shi and Qing Zhu and Yuequan Yang},
  journal={2012 24th Chinese Control and Decision Conference (CCDC)},
  year={2012},
  pages={2122-2127}
}
In this paper, an novel adaptive tracking control is developed for a class of completely non-affine pure-feedback nonlinear systems using radial basis function neural networks (RBFNNs). Combining the dynamic surface control (DSC) technique and backstepping method, the explosion of complexity in the traditional backstepping design is avoided. Using mean value theorem and Young's inequality, only one learning parameter need to be tuned online in the whole controller design, and the computational… CONTINUE READING
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