文档介绍：Proceedings of the 1999 IEEE
International Symposium on Intelligent ControVLntelligent Systems and Semiotics
Cambridge, MA September 15-17, 1999
Fuzzy Model Predictive Control: Techniques, Stability
Issues, and Examples
Hazem Kevin M. Passino'
Abstract plified relational fuzzy model. In [15], the authors
presented a fuzzy control scheme similar to Dynamic
Fuzzy Model Predictive Control (FMPC) algorithms Matrix Control (DMC) where they introduced a new
presented here are model-based control schemes in way of constructing the dynamic matrix based on the
which the models used for prediction are Takagi-Sugeno fuzzy model and the fuzzy inverse model. Also, the
fuzzy systems (TSFS). Three approaches to FMPC authors in [16] presented a relational model-based pre-
design are discussed. The fuzzy model in the first dictive control algorithm in which the mand
approach can be represented as a time-varying affine is a bination of steady state control and the
model that is used for control. In the second approach, one-step-ahead or dead-beat control. Recently, [17]
the fuzzy system is a bination of multiple presented three fuzzy predictive control schemes using
affine models, where the control is a bina- TSFS where the consequents are linear models; this is
tion of multiple controllers. Lastly, the control of the the work that is mos