Abstract

In this paper, a direct sliding control learning strategy is combined with a fuzzy system with variable granularity to achieve different precision requirements in different zones of the state-space; non-local basis functions are also added. A coordinate transformation gives a clearer meaning over performance evaluation and the fuzzy system operates on this transformed space.