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A parameter-dependent Lyapunov function based design approach for gain-scheduled H filters of LPV systems

  • Hangzhou Dianzi University
  • Nanjing University of Science and Technology

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

In this paper we study the problem of designing gain-scheduled H filters for a class of parameter-varying discrete-time systems. We utilize a parameter-dependent Lyapunov function to establish a new characterization of asymptotic stability with H norm bound for the linear parameter-varying (LPV) systems. On the basis of the stability with H performance characterization established, we provide sufficient conditions for the solvability of the filter design problem by means of a finite number of linear matrix inequalities (LMIs). Then we show that solving a set of LMIs paves the way for designing a desired gain-scheduled H filter. We also use a numerical example to demonstrate the application of the presented filter design method.

Original languageEnglish
Title of host publicationProceedings of the 46th IEEE Conference on Decision and Control 2007, CDC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5539-5544
Number of pages6
ISBN (Print)1424414989, 9781424414987
DOIs
Publication statusPublished - 2007
Event46th IEEE Conference on Decision and Control 2007, CDC - New Orleans, LA, United States
Duration: 12 Dec 200714 Dec 2007

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference46th IEEE Conference on Decision and Control 2007, CDC
Country/TerritoryUnited States
CityNew Orleans, LA
Period12/12/0714/12/07

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