PARAMETER IDENTIFICATION FOR PIECEWISE DETERMINISTIC MARKOV PROCESSES: A CASE STUDY ON A BIOCHEMICAL NETWORK

The first part of the paper focuses on the use of Piecewise Deterministic Markov Processes (PDMP) for the modeling of biochemical networks. As a case study, the production of the peptide antibiotic B.Subtilis is considered. The second part of the paper is devoted to the problem of identifying unkown parameters of the model equations, based on experimental data. For the identification task we propose the use of Genetic Algorithms. An example demonstrates the feasibility of our aproach.