Blazic, Saso (Univ of Ljubljana), Skrjanc, Igor (Univ of Ljubljana)

Design of Experiments As a Prerequisite for Development of Fuzzy Models?

Scheduled for presentation during the Regular Session "Poster session" (ThPSTPos), Thursday, August 22, 2019, 14:30−15:30,

5th IFAC International Conference on Intelligent Control and Automation Sciences, August 21-23, 2019, Queen’s University Belfast, Northern Ireland

This information is tentative and subject to change. Compiled on June 30, 2025

Abstract

Design of experiments is an approach where the experiments for measurement acquisition should be planned very carefully in order to obtain high-informative data. This paper tackles a problem of constructing mathematical models of complex nonlinear problems based on measurement data of poor information content. Two practical examples are dealt with. The first one is a textile wastewater decolourisation process, and the second one an atmospheric corrosion of structural metal materials. In both cases the measurement data were not adequate for constructing a very accurate model. In such cases it is necessary to make a trade-off between model complexity and model accuracy.