A cubature H∞filter and its square-root version

Chandra, Bharani, Gu, Da-Wei and Postlethwaite, Ian (2014) A cubature H∞filter and its square-root version. International Journal of Control, 87 (4). pp. 764-776. ISSN 0020-7179

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Official URL: http://dx.doi.org/10.1080/00207179.2013.856520

Abstract

In this paper, we present a nonlinear state estimation algorithm based on the fusion of an extended H∞ (EH∞F) and a cubature Kalman filter (CKF); the resulting estimator is called a cubature H∞ filter. The recently developed CKF is a Gaussian approximation of a Bayesian filter and its performance over non-Gaussian noises may degrade. In contrast, the H∞ filter is capable of estimating the states of linear systems with non-Gaussian noises and the extended H∞ filter (EH∞F) can estimate the states of non-linear and non-Gaussian systems. Similar to the H∞ filter, an EH∞F also does not make any assumptions about the statistics of the process or measurement noise, but it does require Jacobians during the state estimation of nonlinear systems, which degrade the overall performance when the nonlinearities are severe. The cubature H∞ filter is developed to have the desirable features of both CKF and EH∞F. For numerical accuracy, a square-root version of the cubature H∞ filter is developed using J-unitary transformation. The efficacy of the square-root cubature H∞ filter is verified on continuous stirred tank reactor and permanent magnet synchronous motor examples.

Item Type: Article
Uncontrolled Keywords: nonlinear state estimation, robust estimation, Kalman filters
Subjects: H100 General Engineering
Department: Faculties > Engineering and Environment > Mathematics and Information Sciences
Depositing User: Ay Okpokam
Date Deposited: 24 Apr 2014 08:24
Last Modified: 10 Aug 2015 11:06
URI: http://nrl.northumbria.ac.uk/id/eprint/16103

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