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D. Yue, C. Peng and G. Tang, “Guaranteed Cost Control of Linear Systems over Networks with State and Input Quantizations,” IET Control Theory and Application, Vol. 153, No. 6, 2006, pp. 658-664. doi:10.1049/ip-cta:20050294

has been cited by the following article:

• TITLE: H∞ Control of Uncertain Fuzzy Networked Control Systems with State Quantization

  AUTHORS: Magdi S. Mahmoud

  KEYWORDS: Networked H∞ Control; Fuzzy Systems; Discrete Time-Varying Delay; Linear Matrix Inequality (LMI)

  JOURNAL NAME: Intelligent Control and Automation, Vol.3 No.1, February 28, 2012

  ABSTRACT: The problem of robust H∞ control for uncertain discrete-time Takagi and Sugeno (T-S) fuzzy networked control systems (NCSs) is investigated in this paper subject to state quantization. By taking into consideration network induced delays and packet dropouts, an improved model of network-based control is developed. A less conservative delay-dependent stability condition for the closed NCSs is derived by employing a fuzzy Lyapunov-Krasovskii functional. Robust H∞ fuzzy controller is constructed that guarantee asymptotic stabilization of the NCSs and expressed in LMI-based conditions. A numerical example illustrates the effectiveness of the developed technique.