An adaptive fuzzy logic control synthesis and applications in robotics

A new analytic approach to an adaptive fuzzy logic control (FLC) system synthesis without any fuzzy rule base is proposed. For this purpose, among the others, an optimal parameter /spl beta/-adaptation algorithm for adaptation of FLC systems has been developed. Consequently, the number of input variables and the numbers of input fuzzy sets of FLC system are not limited. A real capability of the proposed FLC synthesis procedures is presented by synthesis of the adaptive FLC system of industrial robot of RRTR-structure.