Recursive prediction error identification using the nonlinear Wiener model
Automatica (Journal of IFAC) - Special section on fault detection, supervision and safety for technical processes
Identifying MIMO Wiener systems using subspace model identification methods
Signal Processing - Special issue: subspace methods, part II: system identification
Journal of Intelligent and Robotic Systems
Predictive functional control based on fuzzy model for heat-exchanger pilot plant
IEEE Transactions on Fuzzy Systems
Approximate models for nonlinear dynamical systems and their generalization properties
Mathematical and Computer Modelling: An International Journal
Rational wavelets in Wiener-like modeling
Mathematical and Computer Modelling: An International Journal
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The nonlinear identification of a nominal model as well as the uncertainty bounds of a magnetic suspension system is developed. This system has a nonsymmetric dynamic behavior; it has an undershoot but not an overshoot. The proposed model structure is a cascade of a global linear fuzzy dynamic block followed by a piecewise linear function. This model structure allows a proper identification of the system dynamic and a tight description of the uncertainties.