%0 Journal Article
%T Robust Optimal H<sub>¡Þ</sub> Control for Uncertain 2-D Discrete State-Delayed Systems Described by the General Model
%A Arun Kumar Singh
%A Amit Dhawan
%J Journal of Signal and Information Processing
%P 78-114
%@ 2159-4481
%D 2016
%I Scientific Research Publishing
%R 10.4236/jsip.2016.72011
%X This paper investigates the problem of
robust optimal H<sub><span style=\"font-family:ËÎÌå;\">¡Þ</span><span></span></sub> 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 <span style=\"font-family:Symbol;\">g</span><span>-suboptimal
robust H<sub><sub></sub></sub></span><span style=\"font-family:ËÎÌå;\"><sub><span style=\"white-space:normal;\"></span><span style=\"white-space:normal;font-family:ËÎÌå;\">¡Þ</span></sub></span><span> 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<sub><sub><sub></sub></sub></sub></span><span style=\"font-family:ËÎÌå;\"><sub>¡Þ</sub></span><span> noise attenuation level of the resulting closed-loop
system. Finally, two illustrative examples are given to demonstrate the
effectiveness of the proposed method.</span>
%K 2-D Discrete Systems
%K General Model
%K H&lt
%K sub&gt
%K ¡Þ&lt
%K /sub&gt
%K Control
%K Linear Matrix Inequality
%K State Feedback
%K Uncertain System
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=66884