Fuzzy control with time delay estimation for networked control systems

Abstract

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