Cubature H∞ information filter

Bharani Chandra, Da-Wei Gu, Ian Postlethwaite

    Research output: Contribution to conferencePaperpeer-review

    3 Citations (Scopus)

    Abstract

    This paper presents a state estimation algorithm referred to as a cubature H∞ information filter (CH∞IF) for nonlinear systems. The proposed algorithm is developed from a cubature Kalman filter, an H∞ filter and an extended information filter. The CH ∞IF is a derivative free filter, where the information state vector and information matrix are propagated rather than the state vector and error covariance matrix. Furthermore, the CH∞IF is extended for multi-sensor state estimation. The efficacy of the CH∞IF is demonstrated by a simulation example of a permanent magnet synchronous motor in the presence of Gaussian and non-Gaussian noises.
    Original languageEnglish
    Publication statusPublished - Jul 2013
    EventECC13 - European Control Conference - Zurich, Switzerland
    Duration: 1 Jul 2013 → …

    Conference

    ConferenceECC13 - European Control Conference
    Period1/07/13 → …

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