Fuzzy model based long-range predictive control

Abstract

Fuzzy model based long-range predictive control algorithms are presented. A distributed fuzzy relational model is used for forecasting. The control law seeks to minimize a multi-step performance index using a receding horizon strategy. The adaptation mechanisms deal with the linguistic maintenance of the involved membership functions. A case study is presented.<>