Using TS fuzzy models in anytime control systems

Nowadays practical solutions of engineering problems involve model-integrated computing. Model based approaches offer a very challenging way to integrate a priori knowledge into the procedure. Due to their flexibility, robustness, and easy interpretability, the application of soft computing based models, may have an exceptional role. Nevertheless, ever so advantageous their usage can be, it can still be limited by their high computational complexity. Although, a possible solution can be, if we combine soft computing and anytime techniques, because the anytime mode of operation is able to adaptively cope with the available, usually imperfect or even missing information, the dynamically changing, possibly insufficient amount of resources and reaction time. In this paper, possibilities offered by the combination of TS fuzzy models and anytime techniques are presented.