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A novel implicit iterative algorithm for solving the generalized Lyapunov equation

  • Ai Guo Wu
  • , Hui Jie Sun*
  • *Corresponding author for this work

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

Abstract

In this paper, a novel implicit iterative algorithm with some tuning parameters for solving the continuous-time generalized Lyapunov matrix equation is presented. The idea is from [1] in which an efficient iterative algorithm was presented to solve the coupled Lyapunov matrix equations for Markovian jump linear systems. By using the information in the current step and the previous steps, we introduce some tuning parameters in the Lyapunov implicit iterative algorithm to obtain the solution of the continuous-time generalized Lyapunov matrix equation. The convergence rate of the proposed algorithm can be significantly improved by appropriately choosing these tuning parameters. It is shown that the sequence generated by the present algorithm can converges to the solution of the generalized Lyapunov matrix equation. An example is given at the end of this paper to compare the efficiency and accuracy of the proposed algorithm with other exist methods in the literature.

Original languageEnglish
Title of host publicationProceedings of the 35th Chinese Control Conference, CCC 2016
EditorsJie Chen, Qianchuan Zhao, Jie Chen
PublisherIEEE Computer Society
Pages1868-1873
Number of pages6
ISBN (Electronic)9789881563910
DOIs
StatePublished - 26 Aug 2016
Event35th Chinese Control Conference, CCC 2016 - Chengdu, China
Duration: 27 Jul 201629 Jul 2016

Publication series

NameChinese Control Conference, CCC
Volume2016-August
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference35th Chinese Control Conference, CCC 2016
Country/TerritoryChina
CityChengdu
Period27/07/1629/07/16

Keywords

  • Generalized Lyapunov matrix equation
  • Itô-type stochastic linear systems
  • iterative algorithms

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