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Data-based mechanistic modelling, forecasting, and control.

Chotai, Arun and Young, Peter C. (2001) Data-based mechanistic modelling, forecasting, and control. IEEE Control Systems Magazine, 21 (5). pp. 14-27. ISSN 0272-1708

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    Abstract

    This article briefly reviews the main aspects of the generic data based mechanistic (DBM) approach to modeling stochastic dynamic systems and shown how it is being applied to the analysis, forecasting, and control of environmental and agricultural systems. The advantages of this inductive approach to modeling lie in its wide range of applicability. It can be used to model linear, nonstationary, and nonlinear stochastic systems, and its exploitation of recursive estimation means that the modeling results are useful for both online and offline applications. To demonstrate the practical utility of the various methodological tools that underpin the DBM approach, the article also outlines several typical, practical examples in the area of environmental and agricultural systems analysis, where DBM models have formed the basis for simulation model reduction, control system design, and forecasting

    Item Type: Article
    Journal or Publication Title: IEEE Control Systems Magazine
    Additional Information: "©2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."
    Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
    Departments: Faculty of Science and Technology > Lancaster Environment Centre
    ID Code: 21590
    Deposited By: ep_ss_importer
    Deposited On: 22 Jan 2009 11:52
    Refereed?: Yes
    Published?: Published
    Last Modified: 26 Jul 2012 15:49
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/21590

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