Nonlinear feedback control systems: an operator theory approach
Nonlinear feedback control systems: an operator theory approach
A friendly guide to wavelets
Worst-case identification of nonlinear fading memory systems
Automatica (Journal of IFAC)
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Approximate models for nonlinear dynamical systems and their generalization properties
Mathematical and Computer Modelling: An International Journal
Identification structures using rational wavelets: examples of application
Applied Numerical Mathematics - Special issue on applied and computational mathematics: Selected papers of the fourth PanAmerican workshop
From linear to nonlinear identification: One step at a time
Mathematical and Computer Modelling: An International Journal
Nonlinear uncertainty model of a magnetic suspension system
Mathematical and Computer Modelling: An International Journal
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We use a Wiener-like approximation scheme using rational wavelets for the linear dynamical structure and a feedforward neural network for approximating the nonlinear static part. This class of structure allows us to approximate nonlinear oscillatory dynamic systems and has two main advantages: the time location of the dynamical components of the systems and the inclusion of the a priori knowledge of those components in the model.