{"title":"Robust Optimal H∞ Control for Uncertain 2-D Discrete State-Delayed Systems Described by the General Model","authors":"A. Singh, Amit Dhawan","doi":"10.4236/JSIP.2016.72011","DOIUrl":null,"url":null,"abstract":"This paper investigates the problem of \nrobust optimal H∞ control for uncertain two-dimensional (2-D) discrete \nstate-delayed systems described by the general model (GM) with norm-bounded \nuncertainties. A sufficient condition for the existence of g-suboptimal \nrobust H∞ state feedback controllers is established, based on \nlinear matrix inequality (LMI) approach. Moreover, a convex optimization \nproblem is developed to design a robust optimal state feedback controller which \nminimizes the H∞ noise attenuation level of the resulting closed-loop \nsystem. Finally, two illustrative examples are given to demonstrate the \neffectiveness of the proposed method.","PeriodicalId":38474,"journal":{"name":"Journal of Information Hiding and Multimedia Signal Processing","volume":"1 1","pages":"78-114"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Hiding and Multimedia Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4236/JSIP.2016.72011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0
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.