In this paper, a new fuzzy basis function vector (FBFV) approach for the ad
aptive control of multivariable nonlinear systems is presented. With this m
ethod, the nonlinear plant is first linearized. The linearized bias and unc
ertainties as well as disturbances are assumed to be included in the model
structure and their upper bound will be adaptively learned by the FBFV meth
od. The output of the FBFV is used as the parameters of the robust controll
er in the sense that both the robustness and the asymptotic error convergen
ce can be obtained for the multivariable nonlinear system. The effectivenes
s of the proposed analysis and design method is illustrated with a simulate
d example.