engleski

Experimental Investigations of a Direct Adaptive Neurofuzzy Controller

The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive and robust control. In this paper, discrete direct adaptive control of unknown non-linear SISO systems is considered. The controller is implemented using a fuzzy neural network. The control concept is tested on a laboratory pilot plant and compared to a standard discrete PID Takahashi controller.

non-linear control; uncertainty; direct adaptive control; fuzzy neural network; laboratory pilot plant; PID Takahashi controller

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