Share Email Print
cover

Proceedings Paper

Neural networks applied to smart structure control
Author(s): Steffen Brueckner; Stephan Rudolph
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top