DFSLIF: dynamical fuzzy system with linguistic information feedback

We propose a new dynamical fuzzy system with linguistic information feedback (DFSLIF). Instead of crisp system output, the delayed conclusion fuzzy membership function in the consequence part is fed back locally with adjustable scaling and shifting in order to overcome the static mapping drawback of conventional fuzzy systems. We give a detailed description of the corresponding structure and algorithm. Our novel scheme has the advantage of inherent dynamics, and is therefore well suited for handling temporal problems like dynamical system identification, control, and filtering. Simulation experiments have been carried out to demonstrate its effectiveness.