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We develop a data-driven, {\em Partial Differential Equation-OrdinaryDifferential Equation} (PDE-ODE) model that describes the response of the {\emCarbon Dioxide} (\cotwon) dynamics inside a conference room, due to thepresence of humans, or of a user-controlled exogenous source of \cotwon. Weconduct two controlled experiments in order to develop and tune a model whoseoutput matches the measured output concentration of \cotwo inside the room,when known inputs are applied to the model. In the first experiment, acontrolled amount of \cotwo gas is released inside the room from a regulatedsupply, and in the second, a known number of humans produce a certain amount of\cotwo inside the room. For the estimation of the exogenous inputs, we designan observer, based on our model, using measurements of \cotwo concentrations attwo locations inside the room. Parameter identifiers are also designed, basedon our model, for the online estimation of the parameters of the model. Weperform several simulation studies for the illustration of our designs.

Modeling and Estimation of the Humans' Effect on the CO2 Dynamics Inside a Conference Room