The design of experiments for discriminating between two stochastic dynamic models

Abstract

This paper considers methods of experimental design for discriminating between two rival stochastic dynamic models. Maximum likelihood estimator of unknown system parameters along with discriminating algorithm based on likelihood ratio criterion are discussed. One approach to the optimal input design leading to the sequential scheme of discriminating experiment is established. The sequential input design procedure is illustrated by numerical example.