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Proceedings Paper

Neural networks applied to smart structure control
Author(s): Steffen Brueckner; Stephan Rudolph
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Paper Abstract

Smart structures incorporating actor and sensor elements usually show an essentially nonlinear and often additionally time-variant behavior. Neural networks as a nonlinear and adaptive computational tool provide interesting possibilities in the field of control of smart structures. Different neural network control methodologies have been proposed in the literature, almost all neglecting a priori knowledge about the plant to be controlled. In this paper an indirect neural network control approach for smart structure system is shown using a neural network plant model designed according to the results of dimensional analysis.

Paper Details

Date Published: 30 March 2000
PDF: 11 pages
Proc. SPIE 4055, Applications and Science of Computational Intelligence III, (30 March 2000); doi: 10.1117/12.380582
Show Author Affiliations
Steffen Brueckner, Univ. Stuttgart (Germany)
Stephan Rudolph, Univ. Stuttgart (Germany)

Published in SPIE Proceedings Vol. 4055:
Applications and Science of Computational Intelligence III
Kevin L. Priddy; Paul E. Keller; David B. Fogel, Editor(s)

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