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 JSIP  Vol.7 No.2 , May 2016
Robust Optimal H Control for Uncertain 2-D Discrete State-Delayed Systems Described by the General Model
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.
Cite this paper: Singh, A. and Dhawan, A. (2016) Robust Optimal H Control for Uncertain 2-D Discrete State-Delayed Systems Described by the General Model. Journal of Signal and Information Processing, 7, 78-114. doi: 10.4236/jsip.2016.72011.
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