Nonlinear predictive control using wiener models: computationally efficient approaches for polynomial and neural structures
Auteur :
ÅawryÅ„czuk, Maciej
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030838171
Date de publication :
23 sept. 2022
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
The classical model predictive control (MPC) approach to control dynamical systems described by the Wiener model uses an inverse static block to cancel the influence of process nonlinearity. Unfortunately, the model's structure is limited, and it gives poor control quality in the case of an imperfect model and disturbances.