@INPROCEEDINGS{Maas1304:Co,
AUTHOR="Mehdi Maasoumy and Qi Zhu and Cheng Li and Forrest Meggers and Alberto
Sangiovanni-Vincentelli",
TITLE="Co-design of Control Algorithm and Embedded Platform for {HVAC} Systems",
BOOKTITLE="The 4th ACM/IEEE International Conference on Cyber-Physical Systems
(ICCPS'13) (ICCPS 2013)",
ADDRESS="Philadelphia, USA",
DAYS=8,
MONTH=apr,
YEAR=2013,
ABSTRACT="The design of heating, ventilation and air conditioning (HVAC) systems is
crucial for reducing the energy consumption in buildings. As complex
cyber-physical systems, HVAC systems involve three closely-related
subsystems - the control algorithm, the physical environment and the
embedded implementation platform. In the traditional top-down approach, the
control algorithm and the embedded platform are mostly designed separately
leading to sub-optimal systems. In this paper, we propose a co-design
approach that analyzes the interaction between the control algorithm and
the embedded platform through a set of interface variables in particular
the sensing accuracy. We design six control algorithms that take into
account the sensing error, and model the relation of control performance
and cost versus sensing error. We also capture the relation of embedded
platform cost versus sensing error by analysis of the collected data from a
testbed. Based on these models, we explore the co-design of the control
algorithm and the embedded platform to optimize a system with respect to
energy cost and monetary cost while satisfying the constraints for user
comfort level."