Generic Expert System for Identification of Industrial Processes

Abstract

The final goal of our Expert System in Identification is to provide a helpful tool for the user of Identification techniques. Because the Identification theory is still growing, we have to implement our ES in such a way that it allows further developments of theoretical results or of the way to use them. Moreover, each user could wish to describe easily its own expertise. So we aim to design a generic knowledge base, for evolutivity and flexibility. for that purpose we use the Static, Semiotic and Dynamic Design method, as described in the first part of the paper. The most relevant aspect of this method is the structuration of the knowledge base into three components: the generic component, the static knowledge base and the dynamic knowledge base. The second part of our paper presents the description and the structuration of the objects involved in identification procedure and the links between them (the static description), the strategy of an user for solving a specific problem of identification (the dynamic knowledge base). The third and last part describes the generic component, which contains the control structure under the form of generic rules. In this paper we focus on a part of identification general problem, namely the choice of Model Structure, Parameter Estimation Method and Computation Algorithm.