Adaptive output feedback control of nonlinear systems using neural networks

@article{Calise2001AdaptiveOF,
  title={Adaptive output feedback control of nonlinear systems using neural networks},
  author={Anthony J. Calise and Naira Hovakimyan and Moshe Idan},
  journal={Automatica},
  year={2001},
  volume={37},
  pages={1201-1211}
}
A direct adaptive output feedback control design procedure is developed for highly uncertain nonlinear systems, that do not rely on state estimation. The approach is also applicable to systems of unknown, but bounded dimension. In particular, we consider single-input/single-output nonlinear systems, whose output has known, but otherwise arbitrary relative degree. This includes systems with both unstructured parameter uncertainty and unstructured unmodeled dynamics. This result is achieved by… CONTINUE READING
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