Dynamic neural network-based robust observers for uncertain nonlinear systems

@article{Dinh2014DynamicNN,
  title={Dynamic neural network-based robust observers for uncertain nonlinear systems},
  author={Huyen T. Dinh and Rushikesh Kamalapurkar and Shubhendu Bhasin and Warren E. Dixon},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2014},
  volume={60},
  pages={44-52}
}
A dynamic neural network (DNN) based robust observer for uncertain nonlinear systems is developed. The observer structure consists of a DNN to estimate the system dynamics on-line, a dynamic filter to estimate the unmeasurable state and a sliding mode feedback term to account for modeling errors and exogenous disturbances. The observed states are proven to asymptotically converge to the system states of high-order uncertain nonlinear systems through Lyapunov-based analysis. Simulations and… CONTINUE READING

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