SUPERVISORY FUZZY CONTROL FOR NETWORKED CONTROL SYSTEMS

This work presents a supervisory control strategy for Networked Control Systems. This shows the identification and control of a plant using fuzzy theory. The identification is perform through input-output data. The fuzzy model incorporates the delay dynamics within of fuzzy rules. The controller is composed by a nominal control and a proposed supervisory control from the fuzzy model. A system of magnetic levitation is presented as a case study.

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