A comparison of some adaptive-predictive fuzzy-control strategies

A comparison of some fuzzy model-based adaptive-predictive control strategi es is provided. The considered strategies are based on the minimization of a predefined long-range cost functionals reflecting the tracking error betw een the reference to be followed and the plant's output. They begin from th e current time instant and continue up to a given time horizon in the futur e. A fuzzy model of the plant is used for forecasting, A particular control strategy is specified by selecting the type of fuzzy model used as plant d escription, the algorithm used for model-parameter estimation, and the assu mption required for the long-range cost minimization, The simulation result s presented show that the control performance depends not only on the assum ption required for multistep optimization, but most notably, it depends on the convergence rate of the parameter-estimation algorithm used in on-line model identification.