PT Journal
AU Kokes, J
   Kopecky, M
TI Experimental Analysis of Complex Chaotic System by Hilbert-Huang Transform Usage
SO Acta Mechanica Slovaca
PY 2009
BP 74
EP 79
VL 13
IS 4
DI 10.2478/v10147-010-0040-2
DE Lorenz's attractor; Hilbert-Huang Transform; adaptive prediction; deterministic chaotic systems
AB The paper demonstrates one promising algorithm for adaptive prediction of trajectory transitions between local basins of attraction of deterministic chaotic systems using Hilbert-Huang Transform. The expected transitions of higher dimensional chaotic systems are predicted by low order intrinsic modal functions, obtained from state variables by HHT. The behavior of chaotic systems in the state-space is transformed to system behavior in an approximated parameter-space obtained by Huang algorithm. Also a brief comparison to adaptive method using quadratic neural unit (QNU) with forcing inputs, introduced by Bukovsky [2], is shown.
ER