Neuro-Fuzzy Control with Time Delay Estimation for Nonlinear Networked Control Systems

نویسندگان

  • Paul E. Mendez-Monroy
  • Héctor Benítez-Pérez
چکیده

This paper presents a neuro-fuzzy control strategy with online estimation of Round Trip Time delay for nonlinear Networked Control Systems, first a fuzzy model is identified offline through inputs-states data with delay measurement, therefore, parameters for the estimation of Round Trip Time delay are obtained. The fuzzy control is designed by Linear Quadratic Regulation and a stability analysis is present. A Real-Life hardware-inthe-loop Magnetic Levitation System is used as case study to show the effectiveness of control and robustness to traffic.

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تاریخ انتشار 2011