In this study, the analysis and design problems of H-infinity filtering for a class of discrete-time-varying delay systems are investigated. The authors' attention is focused on the filter design using scaled smal...
详细信息
In this study, the analysis and design problems of H-infinity filtering for a class of discrete-time-varying delay systems are investigated. The authors' attention is focused on the filter design using scaled small gain (SSG) approach guaranteeing the robust asymptotic stability of the filtering error system with a prescribed H-infinity performance. A novel transformation model of the filtering error system is obtained via three-term approximation method and input-output approach based on SSG theorem. Then, the desired filter design is obtained through a convex optimisation problem resolution under a set of linear matrix inequality constraints. Finally, the use of many examples from the literature demonstrates the effectiveness of the proposed approach.
作者：
Taha ZoulaghHicham El AissAbdelaziz HmamedAhmed El HajjajiLESSI Laboratory
Department of Physics Faculty of Sciences Dhar El Mehraz University Sidi Mohamed Ben Abdellah B.P. 1796 Fes-Atlas Morocco Modeling
Information System (MIS) Laboratory University of Picardie Jules Verne UFR of Sciences 33 Rue St Leu 80000 Amiens France
In this study, the analysis and design problems of filtering for a class of discrete-time-varying delay systems are investigated. The authors' attention is focused on the filter design using scaled small gain (SSG...
详细信息
In this study, the analysis and design problems of filtering for a class of discrete-time-varying delay systems are investigated. The authors' attention is focused on the filter design using scaled small gain (SSG) approach guaranteeing the robust asymptotic stability of the filtering error system with a prescribed performance. A novel transformation model of the filtering error system is obtained via three-term approximation method and input–output approach based on SSG theorem. Then, the desired filter design is obtained through a convex optimisation problem resolution under a set of linear matrix inequality constraints. Finally, the use of many examples from the literature demonstrates the effectiveness of the proposed approach.
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