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30 March 2000 Neural networks applied to smart structure control
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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.
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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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