Improvements in fuzzy controller design

A parallel strategy to automatically design a fuzzy controller, i.e. to obtain the rules that form the system controller, is discussed. The strategy is proposed in accordance with the natural parallelism of the cell-to-cell mapping approach, and some improvements are suggested. To make the computation algorithm faster and allow the controller design, even if complex nonlinear systems are considered, a natural modeling approach is suggested. The procedure has been implemented on a multiprocessor architecture based on transputers. It has been applied to design several fuzzy controllers: the results using the fuzzy controller of a nonlinear system confirm the suitability of the approach in comparison with classical regulators.<>