Cross-Gramian based lower-order controller design

Muhammad Raees Furquan Azhar, Umair Zulfiqar, Muwahida Liaquat

    Research output: Chapter in Book/Conference paperConference paperpeer-review

    1 Citation (Scopus)


    The controller designed for practical systems require less computational complexity and saving the hardware resources, for implementation. Model order reduction techniques play a vital role in achieving these requirements by deriving a reduced order model that accurately approximates the original system. Since the operating frequency range of the plant or controller are critical, therefore, the response of the reduced model should be similar to the original system in the emphasized frequency region. In this paper, we propose a cross-gramian based frequency-weighted model order reduction technique for plant-compensator reduction. The Proposed algorithm does not impose the minimality condition on the original system and produces better results with reduced computational effort as compared to the existing algorithm. The significance of the Proposed technique is shown by numerical examples.

    Original languageEnglish
    Title of host publicationICCMA 2018 - Proceedings of the 6th International Conference on Control, Mechatronics and Automation
    Place of PublicationUSA
    PublisherAssociation for Computing Machinery (ACM)
    Number of pages7
    ISBN (Electronic)9781450365635
    Publication statusPublished - 12 Oct 2018
    Event6th International Conference on Control, Mechatronics and Automation, ICCMA 2018 - Tokyo, Japan
    Duration: 12 Oct 201814 Oct 2018


    Conference6th International Conference on Control, Mechatronics and Automation, ICCMA 2018


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