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has been cited by the following article:

• TITLE: Robust Optimal H∞ Control for Uncertain 2-D Discrete State-Delayed Systems Described by the General Model

  AUTHORS: Arun Kumar Singh, Amit Dhawan

  KEYWORDS: 2-D Discrete Systems, General Model, H∞ Control, Linear Matrix Inequality, State Feedback, Uncertain System

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.7 No.2, May 27, 2016

  ABSTRACT: This paper investigates the problem of robust optimal H∞ control for uncertain two-dimensional (2-D) discrete state-delayed systems described by the general model (GM) with norm-bounded uncertainties. A sufficient condition for the existence of g-suboptimal robust H∞ state feedback controllers is established, based on linear matrix inequality (LMI) approach. Moreover, a convex optimization problem is developed to design a robust optimal state feedback controller which minimizes the H∞ noise attenuation level of the resulting closed-loop system. Finally, two illustrative examples are given to demonstrate the effectiveness of the proposed method.