Fuzzy linguistic control is not computable when one of the control input variables lacks. The missing information can be estimated by the inversion of an «observation-oriented» fuzzy linguistic model, which considers the evolution of th" system under fuzzy control. A simple example is presented, which shows that the teclmique is effective in tracking mode when the precision of the predictive model is sufficient. In regulation mode, when the controlled variable is near the set-point. the observer performanc" decreases and is more sensitive to disturbances and modelling e1rnrs.
Fuzzy control; estimation; model inversion; product-sum-gravity method.
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