Predictive control of solid oxide fuel cells using fuzzy Hammerstein models

This paper presents a study of fuzzy Hammerstein models as part of a model predictive control strategy. The model configuration includes a nonlinear static block followed by a linear dynamic block, where the static nonlinearity is represented by a fuzzy model. The model and controller have been realized in the MATLAB environment. Simulation examples demonstrate the potential of such structured models for application to the control of a solid oxide fuel cell.