Abstract:
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.
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