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Explicit iterative algorithms for continuous coupled Lyapunov matrix equations

  • Harbin Institute of Technology Shenzhen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Two explicit iterative algorithms are developed in this paper for solving continuous coupled Lyapunov matrix equations. By introducing a tunable parameter, the considered matrix equations are transformed into the Kalman-Yakubovich matrix equations. Further, based on the obtained equations, an explicit iterative algorithm is constructed to solve the coupled Lyapunov matrix equations. In addition, by using the latest estimation an improved iterative algorithm is proposed. Some convergence results are obtained for the presented improved iterative algorithm. It is shown that the convergence performance of the proposed algorithms can be significantly improved if the tunable parameter can be properly chosen. Finally, a numerical example is given to show the merit of the presented algorithms.

Original languageEnglish
Title of host publicationProceedings of the 36th Chinese Control Conference, CCC 2017
EditorsTao Liu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages274-277
Number of pages4
ISBN (Electronic)9789881563934
DOIs
StatePublished - 7 Sep 2017
Externally publishedYes
Event36th Chinese Control Conference, CCC 2017 - Dalian, China
Duration: 26 Jul 201728 Jul 2017

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference36th Chinese Control Conference, CCC 2017
Country/TerritoryChina
CityDalian
Period26/07/1728/07/17

Keywords

  • Coupled Lyapunov Matrix Equation
  • Iterative Algorithm
  • Markovian Jump Linear Systems

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