A multivariable fuzzy generalized predictive control approach and its performance analysis

Abstract

We use the Takagi-Sugeno fuzzy model to express nonlinear dynamic systems, and present a fast online identification algorithm. A multivariable fuzzy generalized predictive control approach is put forward based on the identified fuzzy model by means of Clark's principle of single-variable generalized predictive control. The steady state performances and stability of the closed-loop system are analysed in detail too.