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S. Zhou and T. Li, “Robust Stabilization for Delayed Discrete-Time Fuzzy Systems via Basis-Dependent Lyapunov-Krasovskii Function,” Fuzzy Sets and Systems, Vol. 151, No. 1, 2005, pp. 139-153. doi:10.1016/j.fss.2004.08.014

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.