Level Fuzzy Control of Three-Tank System

Look-up decisions tables are favorites in fuzzy control when a complex algorithm of fuzzy rules inference is an impediment for a real time application. The control values of look-up tables are fuzzy singletons in finite number. It is difficult to obtain the best fuzzy control performance in these conditions. The look-up tables can be assimilated to sparse fuzzy rule bases. A linear interpolation method applied in a look-up decision table increase to a large number the fuzzy control values. In this way the fuzzy control performance can be improved. A level fuzzy control of three-tank system is implemented to validate the proposed method.