Abstract. Smart structures incorporating actor and sensor elements usually show an essentially nonlinear and often additionally time-variant
behaviour. 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 systems
is shown using a neural network plant model designed according to the results of dimensional analysis.