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Robust Quantized Approach to Fuzzy Networked Control Systems

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2 Author(s)
Mahmoud, Magdi S. ; Syst. Eng. Dept., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia ; Saif, A.-W.A.

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:

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

Date of Publication:

March 2012

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