An ISS-modular approach for adaptive neural control of pure-feedback systems

@article{Wang2006AnIA,
  title={An ISS-modular approach for adaptive neural control of pure-feedback systems},
  author={Cong Wang and David John Hill and Shuzhi Sam Ge and Guanrong Chen},
  journal={Automatica},
  year={2006},
  volume={42},
  pages={723-731}
}
Controlling non-affine non-linear systems is a challenging problem in control theory. In this paper, we consider adaptive neural control of a completely non-affine pure-feedback system using radial basis function (RBF) neural networks (NN). An ISS-modular approach is presented by combining adaptive neural design with the backstepping method, input-to-state stability (ISS) analysis and the small-gain theorem. The difficulty in controlling the non-affine pure-feedback system is overcome by… CONTINUE READING
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