Decentralized thermal modeling of multi-zone buildings for control applications and investigation of submodeling error propagation

Centralized model predictive control is a popular and optimal approach for thermal control of multi-zone buildings. In centralized control of large-scale, multi-zone buildings, decentralized thermal modeling (including identification) may be useful since it may hard and computationally demanding to obtain a single model for the overall system. Success of a centralized predictive controller depends highly on the prediction accuracy of the used control model during control design phase.