In many situation of industrial interest, the control designer needs qualitative information on the process to be controlled (e.g., linearity/nonlinearity, time delay, dominant poles). In this contribution, three different procedures are proposed for modeling plants in terms of generic Wiener/Hammerstein nonlinear models with time delay. In order of increasing generality, the procedures include an extension of the Nonlinear AutoTune Variation method, a modulating function approach to the estimation of nonlinear delay systems, a combination of Laguerre basis functions and neural networks for off-line and on-line parameter identification. In all cases, experimental or simulated results on benchmark cases are reported.
Qualitative modeling and identification
BALESTRINO, ALDO;LANDI, ALBERTO;SANI, LUCA
2001-01-01
Abstract
In many situation of industrial interest, the control designer needs qualitative information on the process to be controlled (e.g., linearity/nonlinearity, time delay, dominant poles). In this contribution, three different procedures are proposed for modeling plants in terms of generic Wiener/Hammerstein nonlinear models with time delay. In order of increasing generality, the procedures include an extension of the Nonlinear AutoTune Variation method, a modulating function approach to the estimation of nonlinear delay systems, a combination of Laguerre basis functions and neural networks for off-line and on-line parameter identification. In all cases, experimental or simulated results on benchmark cases are reported.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
