@ARTICLE{2015_0J_modeling,
  author={K. {Weekly} and N. {Bekiaris-Liberis} and M. {Jin} and A. M. {Bayen}},
  journal={IEEE Transactions on Control Systems Technology}, 
  title={Modeling and Estimation of the Humans' Effect on the CO2 Dynamics Inside a Conference Room}, 
  year={2015},
  volume={23},
  number={5},
  pages={1770-1781},
  doi={10.1109/TCST.2014.2384002},
  abstract={We develop a data driven, partial differential equation-ordinary differential equation model that describes the response of the carbon dioxide (CO 2 ) dynamics inside a conference room, due to the presence of humans, or of a user-controlled exogenous source of CO 2 . We conduct three controlled experiments to develop and tune a model whose output matches the measured output concentration of CO 2 inside the room, when known inputs are applied to the model. In the first experiment, a controlled amount of CO 2 gas is released inside the room from a regulated supply, and in the second and third experiments, a known number of humans produce a certain amount of CO 2 inside the room. For the estimation of the exogenous inputs, we design an observer, based on our model, using measurements of CO 2 concentrations at two locations inside the room. We perform several simulation studies for the illustration of our results.},
  url_link={https://ieeexplore.ieee.org/abstract/document/7004837},
  url_pdf={modelco2.pdf},
  keywords = {Control theory, Data mining, Smart city}}

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