The paper considers the problem of determining an optimal observation schedule for discrimination between competing models of a dynamic process. To this end, an approach originating in optimum experimental design is applied. Its use necessitates solving some maximin problem. Unfortunately, a high computational cost is the main reason for limited practical applications, especially regarding distributed parameter systems. The paper constitutes an attempt to overcome such an impediment via a parallel implementation performed on a Linux cluster. The resulting numerical scheme is validated on a simulation example motivated by problems arising in chemical kinetics.
['Bartosz Kuczewski', 'Przemysław Baranowski', 'Dariusz Ucinski']
Parallel processing in discrimination between models of dynamic systems