The technique of genetic algorithms is proposed as a means of designing fuzzy gain-
scheduled PI control schemes for a class of non-linear plants where the non-linearity is a
function of the plant output. It is shown that the use of genetic algorithms for this purpose
results in highly effective fuzzy gain-scheduled control systems. These results are illustrated
by genetically designing a fuzzy gain-scheduled controller for a highly non-linear discrete-
time single-input single-output model.