Model predictive tracking control for Wiener model using dynamic output feedback

In this paper, we propose a model predictive tracking control for Wiener models using dynamic output feedback and adopt the Norquay´s Wiener model predictive control algorithms for static output nonlinearity of the Wiener model. The control scheme is based on the minimization of a finite horizon cost function with finite terminal weighting matrices and can easily be implemented using linear matrix inequalities optimization. We developed wiener model for air separation plant using subspace identification and applied to proposed control scheme.