Stable indirect adaptive control using fuzzy systems and neural networks

@article{Spooner1995StableIA,
  title={Stable indirect adaptive control using fuzzy systems and neural networks},
  author={J. T. Spooner and K. M. Passino},
  journal={Proceedings of 1995 34th IEEE Conference on Decision and Control},
  year={1995},
  volume={1},
  pages={243-248}
}
A sta.ble indirect adaptive controller is presented which uses Ta.kagi�Sugeno fuzzy systems, conventional fuzzy sys­ tems, or a class of neural networks to provide asymptotic tracking of a reference signal for a class of continuous­ time nonlinear plants with poorly understood dynamics. The indirect adaptive scheme allows for the inclusion of a priori knowledge a.bout the plant dynamics in terms of exact mathematical equations or linguistics. We prove that with or without such knowledge the… CONTINUE READING
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