Identification of Nonlinear System on Basis of Knowledge Base

Abstract

In the identification of system whose a priori information of structure is poor, adequate candidate models are difficultly set up. This paper presents the method in which candidate models are successively genarated and evaluated by using the search tree and then the optimal model may be obtained. The system described by a functional expansion may be identified, because the flexible search of models may be possible on the basis of hierarchical inference.