Introduction To Perceptron Networks

When it is time-consuming or expensive tomodel a plant using the basic laws of physics, a neural network approach can be an alternative. From a control engineer's viewpoint a twolayer perceptron network is sufficient. It is indicated how to model a dynamic plant using a perceptron network.

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Tuning Of Fuzzy PID Controllers

Since fuzzy controllers are nonlinear, it is more difficult to set the controller gains compared to proportional-integral-derivative (PID) controllers. This research paper proposes a design procedure and a tuning procedure that carries tuning rules from the PID domain over to fuzzy single-loop controllers.

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