An iterative algorithm to solve Algebraic Riccati Equations with an indefinite quadratic term

Alexander Lanzon, Yantao Feng*, Brian D.O. Anderson

*Corresponding author for this work

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

    15 Citations (Scopus)

    Abstract

    In this paper, an iterative algorithm to solve Algebraic Riccati Equations (ARE) arising from, for example, a standard H control problem is proposed. By constructing two sequences of positive semidefinite matrices, we reduce an ARE with an indefinite quadratic term to a series of AREs with a negative semidefinite quadratic term which can be solved more easily by existing iterative methods (e.g. Kleinman algorithm in [2]). We prove that the proposed algorithm is globally convergent and has local quadratic rate of convergence. Numerical examples are provided to show that our algorithm has better numerical reliability when compared with some traditional algorithms (e.g. Schur method in [5]). Some proofs are omitted for brevity and will be published elsewhere.

    Original languageEnglish
    Title of host publication2007 European Control Conference, ECC 2007
    Place of PublicationKos, Greece
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages3033-3039
    Number of pages7
    EditionPeer Reviewed
    ISBN (Electronic)9783952417386
    ISBN (Print)9783952417386
    DOIs
    Publication statusPublished - 2007
    Event9th European Control Conference (ECC 2007) - Kos Greece
    Duration: 1 Jan 2007 → …
    http://ieeexplore.ieee.org/document/7068220/

    Publication series

    Name2007 European Control Conference, ECC 2007

    Conference

    Conference9th European Control Conference (ECC 2007)
    Period1/01/07 → …
    OtherJuly 2-5 2007
    Internet address

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