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Finite iterative algorithm for solving Lyapunov equations of Itô stochastic systems with Markovian jumps

  • Yan Ming Fu*
  • , Zhen Mao Cui
  • , Yong Xin Liu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

An iterative algorithm is given to find an exact solution to the coupled Lyapunov matrix equations of the discrete-time Itô stochastic liner systems with Markovian jumps. It has been proved that the algorithm can obtain the solution within finite steps in absence of round-off errors, and has fast convergence speed and good numerical stability. The algorithm is explicit iteration, which avoids the influence of the errors generated during the process of solving the other matrix equations.

Original languageEnglish
Pages (from-to)1685-1690
Number of pages6
JournalKongzhi yu Juece/Control and Decision
Volume30
Issue number9
DOIs
StatePublished - 1 Sep 2015

Keywords

  • Convergence
  • Iterative algorithm
  • Itô differential
  • Markov jump systems

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