Probabilistic observers for a class of uncertain biological processes

Abstract In this paper, probabilistic observers are considered for a class of continuous biological processes described by mass‐balance‐based models. It is assumed that the probability density functions (PDFs) of the uncertain parameters and inputs of the model, as well as the PDFs of the missing initial conditions are known. Then, the PDFs of the unmeasured state variables are obtained, at any time, by considering the image of these initial …