• Login
    View Item 
    •   Home
    • Office of Sponsored Research (OSR)
    • KAUST Funded Research
    • Publications Acknowledging KAUST Support
    • View Item
    •   Home
    • Office of Sponsored Research (OSR)
    • KAUST Funded Research
    • Publications Acknowledging KAUST Support
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of KAUSTCommunitiesIssue DateSubmit DateThis CollectionIssue DateSubmit Date

    My Account

    Login

    Quick Links

    Open Access PolicyORCID LibguidePlumX LibguideSubmit an Item

    Statistics

    Display statistics

    Theoretical and algorithmic advances in multi-parametric programming and control

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Type
    Article
    Authors
    Pistikopoulos, Efstratios N.
    Dominguez, Luis
    Panos, Christos
    Kouramas, Konstantinos
    Chinchuluun, Altannar
    Date
    2012-04-21
    Online Publication Date
    2012-04-21
    Print Publication Date
    2012-05
    Permanent link to this record
    http://hdl.handle.net/10754/599980
    
    Metadata
    Show full item record
    Abstract
    This paper presents an overview of recent theoretical and algorithmic advances, and applications in the areas of multi-parametric programming and explicit/multi-parametric model predictive control (mp-MPC). In multi-parametric programming, advances include areas such as nonlinear multi-parametric programming (mp-NLP), bi-level programming, dynamic programming and global optimization for multi-parametric mixed-integer linear programming problems (mp-MILPs). In multi-parametric/explicit MPC (mp-MPC), advances include areas such as robust multi-parametric control, multi-parametric nonlinear MPC (mp-NMPC) and model reduction in mp-MPC. A comprehensive framework for multi-parametric programming and control is also presented. Recent applications include a hydrogen storage device, a fuel cell power generation system, an unmanned autonomous vehicle (UAV) and a hybrid pressure swing adsorption (PSA) system. © 2012 Springer-Verlag.
    Citation
    Pistikopoulos EN, Dominguez L, Panos C, Kouramas K, Chinchuluun A (2012) Theoretical and algorithmic advances in multi-parametric programming and control. Comput Manag Sci 9: 183–203. Available: http://dx.doi.org/10.1007/s10287-012-0144-4.
    Sponsors
    The financial support of European Research Council (MOBILE ERC AdvancedGrant,no:226462),EPSRC(ProjectsGR/T02560/01,EP/E047017,EP/E054285/1)andEuropeanCommis-sion (PROMATCH Marie Curie MRTN-CT-2004-512441, PRISM Marie Curie MTKI-CT-2004-512233,DIAMANTE ToK Project MTKI-CT-2005-IAP-029544, HY2SEP RTD Project 019887, CONNECTCOOP-CT-2006-031638), Air Products, CPSE Industrial Consortium and KAUST is kindly acknowledged.
    Publisher
    Springer Nature
    Journal
    Computational Management Science
    DOI
    10.1007/s10287-012-0144-4
    ae974a485f413a2113503eed53cd6c53
    10.1007/s10287-012-0144-4
    Scopus Count
    Collections
    Publications Acknowledging KAUST Support

    entitlement

     
    DSpace software copyright © 2002-2021  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service hosted by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items. For anonymous users the allowed maximum amount is 50 search results.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.