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Robust Quantized Approach to Fuzzy Networked Control Systems

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2 Author(s)
Magdi S. Mahmoud ; Systems Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia ; Abdul-Wahid A. Saif

This paper investigates the problem of robust H control for uncertain discrete-time Takagi-Sugeno (T-S) fuzzy networked control systems (NCSs) with state quantization. A new model of network-based control with simultaneous consideration of network induced delays and packet dropouts is proposed. Using fuzzy Lyapunov-Krasovskii functional, we derive a less conservative delay-dependent stability condition for the closed NCSs. Robust H fuzzy controller is developed for the asymptotic stabilization of the NCSs and expressed in linear matrix inequality-based conditions. Numerical simulation examples show the feasibility applications of the developed technique.

Published in:

IEEE Journal on Emerging and Selected Topics in Circuits and Systems  (Volume:2 ,  Issue: 1 )