Systematic Design of Fuzzy Controllers Using Inductive Reasoning
Abstract
In this paper, a new systematic design methodology for fuzzy controller design
is presented. For any desired plant output, it is possible to find the optimal
plant input that will produce a plant output that is as close as possible to the
desired plant output. However, this constitutes an open-loop design. In this
paper, a new methodology is introduced that allows to compute a signal that
is close to the optimal plant input as a function of system inputs and plant
outputs. To this end, an inductive reasoning model is created that estimates
the optimal plant input from given system inputs and plant outputs. The
inductive reasoning model can be interpreted and realized as a fuzzy controller.
Thereby, a large portion of the controller is realized through feedback, and
the previous open-loop design is converted to an equivalent and more robust
closed-loop design.
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Last modified: June 22, 2005 -- © François Cellier