Low complexity surrogate models
Marić, I., Ivek, I. Self-Organizing Polynomial Networks for Time-Constrained Applications. // IEEE transactions on industrial electronics, DOI: 10.1109/TIE.2010.2051934, vol. 58, no. 5, May 2011, pp. 2019-2029.
We are dealing with the procedures for meta-modeling of complex systems and algorithmsaiming to build high-accuracy and low-complexity surrogate models applicable to real-timesystems. We are developing new algorithms and metrics for the optimization of models.The efficiency of the surogate models has been verified in real-time calculationof fluid properties and the compensation of fluid flowrate error. The derived procedures can besuccessfuly applied to complex systems modeling in various research areas.