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Robust adaptive control using single-hidden-layer feedforward neural networks

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3 Author(s)
McFarland, M.B. ; Raytheon Missile Syst., Tucson, AZ, USA ; Rysdyk, R.T. ; Calise, A.J.

This paper describes a hybrid approach to the problem of controlling a class of nonlinear systems in the face of both unknown nonlinearities and unmodeled dynamics. In the proposed methodology, neural networks with a single hidden-layer are used to parametrize unknown nonlinearities while dynamic nonlinear damping provides robustness to unmodeled dynamics. To illustrate the theoretical development, the authors present a longitudinal autopilot based on simplified nonlinear missile aerodynamics with first-order actuation

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American Control Conference, 1999. Proceedings of the 1999  (Volume:6 )

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