Observer-based iterative and repetitive learning control for a class of nonlinear systems

@article{Zhu2018ObserverbasedIA,
  title={Observer-based iterative and repetitive learning control for a class of nonlinear systems},
  author={Sheng Zhu and Xuejie Wang and Hanying Liu},
  journal={IEEE/CAA Journal of Automatica Sinica},
  year={2018},
  volume={5},
  pages={990-998}
}
In this paper, both output-feedback iterative learning control ( ILC ) and repetitive learning control ( RLC ) schemes are proposed for trajectory tracking of nonlinear systems with state-dependent time-varying uncertainties. An iterative learning controller, together with a state observer and a fully-saturated learning mechanism, through Lyapunov-like synthesis, is designed to deal with time-varying parametric uncertainties. The estimations for outputs, instead of system outputs themselves… CONTINUE READING

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