Optimal experiment design for identification compartmental model parameters of therapeutic processes

The knowledge of model parameters allows assessment of the actual state of a system using compartmental identification procedure. For satisfactory solution of the problem the optimal experiment design is necessary to adopt. Three co-operating computer programs are designed: MFIT, OSSP and OIN. MFIT enables to choose the best from any reasonable model functions. Reduced sampling schedule (OSSP) and optimal input (OIN) are obtained on the basis of output files of MFIT. The final optimal experiment design is obtained by repeating the procedure. The design is optimal by a way of compromise between essential estimates accuracy, reduced number of samples and the closest to optimal if not strict optimal, input