Öz
In the past decades, representation models of dynamical processes have been developed via both traditional math-analytical and less traditional computational-intelligence approaches. This challenge to system sciences goes on because essentially involves the mathematical approximation theory. A comparison study based on cybernetic input-output view in the time domain on complex dynamical processes has been carried out. An analytical decomposition representation of complex multi-input-multi-output thermal processes is set relative to the neural-network approximation representations, and shown that theoretical background of both emanates from Kolmogorov's theorem. The findings provided a new insight as well as highlighted the efficiency and robustness of fairly simple industrial digital controls, designed and implemented in the past, inherited from input- output decomposition model approximation employed.
Anahtar Kelimeler
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Yazarlar | |
| Yayımlanma Tarihi | 9 Ocak 2012 |
| IZ | https://izlik.org/JA82RR37GF |
| Yayımlandığı Sayı | Yıl 2003 Cilt: 3 Sayı: 1 |