Approximation-based adaptive neural output feedback control for a class of uncertain switched stochastic nonlinear systems with average dwell time condition

@article{Li2016ApproximationbasedAN,
  title={Approximation-based adaptive neural output feedback control for a class of uncertain switched stochastic nonlinear systems with average dwell time condition},
  author={Yuan-Xin Li and Guang-Hong yang},
  journal={Neurocomputing},
  year={2016},
  volume={186},
  pages={160-169}
}
This paper studies the problem of adaptive neural output feedback controller design for a class of uncertain switched stochastic nonlinear systems in strictfeedback form. In the design procedure, a common coordinate transformation for all subsystems is constructed to overcome the design difficulty caused by adoption of different coordinate transformation for different subsystems. Then, by using switched state observer to estimate the unmeasured states and different update laws for different… CONTINUE READING

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