Neural networks applied to smart structure control

Steffen Brueckner; Stephan Rudolph

doi:10.1117/12.380582

30 March 2000 Neural networks applied to smart structure control

Steffen Brueckner, Stephan Rudolph

Proceedings Volume 4055, Applications and Science of Computational Intelligence III; (2000) https://doi.org/10.1117/12.380582
Event: AeroSense 2000, 2000, Orlando, FL, United States

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.

Citation Download Citation

Steffen Brueckner and Stephan Rudolph "Neural networks applied to smart structure control", Proc. SPIE 4055, Applications and Science of Computational Intelligence III, (30 March 2000); https://doi.org/10.1117/12.380582

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