Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.


Distributed Model Predictive Control for Building Temperature Regulation


Yudong Ma, S. Richter, F. Borrelli

Control and Optimization with Differential-Algebraic Constraints

We study the problem of temperature regulation in a network of building thermal zones. The control objective is to keep zone temperatures within a comfort range while consuming the least energy by using predictive knowledge of weather and occupancy. First, we present a simplified two-mass nonlinear system for modeling thermal zone dynamics. Model identification and validation based on historical measured data are presented. Second, a distributed model-based predictive control (DMPC) is designed for optimal heating and cooling. The DMPC is implemented using sequential quadratic program, dual decomposition, and the fast gradient method. Simulation results show good performance and computational tractability of the resulting scheme.


Type of Publication:

Book Chapter

M. Morari

File Download:

Request a copy of this publication.
(Uses JavaScript)
% No recipe for automatically generating a BibTex entry for Book Chapter
Permanent link