Kolmogorov networks and process characteristic input-output modes decomposition
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KünyeDIMIROVSKI, G.M., JING, Y.W. (2002). Kolmogorov networks and process characteristic input-output modes decomposition. 1st International IEEE Symposium on Intelligent Systems, Volume I, IEEE, pp.59-66. http://dx.doi.org/10.1109/IS.2002.1044229
In the past decades, representation models have been developed both via math-analytical and computational-intelligence approaches. This challenge to system sciences goes on because it involves essentially the mathematical approximation theory. Recently a comparison study via the input-output view in the time domain has been carried out. That is, an analytical decomposition representation of complex MIMO thermal processes relative to the neural-network approximation representations based on Kolmogorov's theorem. The main findings resulting out of this study are presented. These provide a novel insight as well as highlight the efficiency and robustness of fairly simple industrial digital controls, designed and implemented in the past, inherited from model approximation employed.