In this paper, the Takagi-Sugeno (T-S) fuzzy model is used to express dynam
ic systems, and an on-line identification algorithm for its parameters and
structures is presented. A new multivariable fuzzy generalized predictive c
ontrol approach is put forward based on the identified fuzzy model by means
of Clark's principle of single-variable generalized predictive control, so
me of whose performances are analysed in detail. A simulation study of the
multivariable load system of electric generating unit shows that the approa
ch is superior to conventional load control systems.