Decentralized predictive thermal control for buildings

Vikas Chandan, Andrew G. Alleyne

Research output: Contribution to journalArticlepeer-review


This paper studies the problem of decentralized control design for thermal control in buildings, to achieve a satisfactory trade-off between underlying performance and robustness objectives. An output-feedback, model predictive framework is used for decentralized control which is based on a reduced order system representation. It entails the use of decentralized extended state observers to address the issue of unavailability of all states and disturbances. The decision on control architecture selection is based on an agglomerative clustering methodology developed previously [22]. The potential use of the proposed control design methodology is demonstrated in simulation on a multi-zone building, which quantifies the tradeoffs in performance and robustness with respect to the degree of decentralization.

Original languageEnglish (US)
Pages (from-to)820-835
Number of pages16
JournalJournal of Process Control
Issue number6
StatePublished - Jun 2014
Externally publishedYes


  • Building thermal control
  • Decentralized control
  • Extended state observer
  • Model predictive control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Computer Science Applications
  • Industrial and Manufacturing Engineering


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