Robust Quantized Approach to Fuzzy Networked Control Systems

Author

Mahmoud, Magdi S. ; Saif, Abdul-Wahid A.

Author_Institution

Syst. Eng. Dept., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia

Volume

2

Issue

1

fYear

2012

fDate

3/1/2012 12:00:00 AM

Firstpage

71

Lastpage

81

Abstract

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.

Keywords

H^∞ control; Lyapunov matrix equations; asymptotic stability; closed loop systems; delays; discrete time systems; fuzzy control; fuzzy systems; linear matrix inequalities; networked control systems; robust control; stability criteria; T-S system; asymptotic stabilization; closed NCS; delay-dependent stability condition; fuzzy Lyapunov-Krasovskii functional; fuzzy networked control system; linear matrix inequality-based condition; network induced delays; network-based control; numerical simulation; packet dropouts; robust H_∞ control; robust quantized approach; state quantization; uncertain discrete time Takagi-Sugeno fuzzy networked control system; Delay; Fuzzy systems; Networked control systems; Quantization; Robustness; Stability analysis; Symmetric matrices; Discrete time-varying delay; fuzzy systems; linear matrix inequality (LMI); networked ${cal H}_infty$ control;

fLanguage

English

Journal_Title

Emerging and Selected Topics in Circuits and Systems, IEEE Journal on

Publisher

ieee

ISSN

2156-3357

Type

jour

DOI

10.1109/JETCAS.2012.2187403

Filename

6170569