• DocumentCode
    2618247
  • Title

    Multi-agent intelligent controller design for smart and sustainable buildings

  • Author

    Wang, Zhu ; Yang, Rui ; Wang, Lingfeng

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA
  • fYear
    2010
  • fDate
    5-8 April 2010
  • Firstpage
    277
  • Lastpage
    282
  • Abstract
    In this paper, a multi-agent intelligent control system is applied to design a control system for smart and sustainable buildings. Smart and sustainable buildings require solving conflicts between energy consumption and indoor comfort level. Also, user preferences should be taken consideration in the control system design. Hierarchical control architecture is introduced and utilized to design such a control system, which includes a central agent-controller and multiple local agent-controllers. The central agent-controller coordinates the local agent-controllers for achieving the maximum user comfort in two different operation modes. The local agent-based control employs multiple fuzzy logic controllers to satisfy different comfort demands. Simulation results are also presented to demonstrate the effectiveness of the proposed multi-agent control system for building energy and comfort management.
  • Keywords
    building management systems; ergonomics; fuzzy control; intelligent control; multi-agent systems; central agent controller; multi-agent intelligent controller design; multiple fuzzy logic controller; multiple local agent controllers; smart buildings; sustainable buildings; user comfort;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Conference, 2010 4th Annual IEEE
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-5882-0
  • Type

    conf

  • DOI
    10.1109/SYSTEMS.2010.5482326
  • Filename
    5482326