Design of iterative learning control via alternating direction method of multipliers for building temperature control system

Tuynh Van Pham, Dinh Hoa Nguyen, David Banjerdpongchai

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    This paper proposes a design of Iterative Learning Control (ILC) based on Alternating Direction Method of Multipliers (ADMM) with application to building temperature control system (BTCS). BTCS is modeled by linear multi-agent system subjected to undirected communication topology. The main advantage of the proposed scheme is that it gives good performance despite existing the interconnection among rooms. In this paper, the ILC design is formulated as computing control input updating. Moreover, we apply ILC to a four-connected room model. It aims that the temperature of each room in building is controlled by a central controller. Finally, numerical results illustrate the effectiveness of ILC.

    Original languageEnglish
    Title of host publicationECTI-CON 2017 - 2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages814-817
    Number of pages4
    ISBN (Electronic)9781538604496
    DOIs
    Publication statusPublished - Nov 3 2017
    Event14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2017 - Phuket, Thailand
    Duration: Jun 27 2017Jun 30 2017

    Publication series

    NameECTI-CON 2017 - 2017 14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology

    Other

    Other14th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2017
    CountryThailand
    CityPhuket
    Period6/27/176/30/17

    All Science Journal Classification (ASJC) codes

    • Behavioral Neuroscience
    • Instrumentation
    • Electrical and Electronic Engineering
    • Human-Computer Interaction
    • Information Systems
    • Computer Networks and Communications
    • Computer Science Applications
    • Hardware and Architecture

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