Modelling of complex dynamic systems

1 January 1987

journal article
Published by Institution of Engineering and Technology (IET) in IEE Proceedings D Control Theory and Applications

Vol. 134 (4) , 245-250
https://doi.org/10.1049/ip-d.1987.0041

Abstract

The role of knowledge in the modelling of complex dynamic systems is examined. It is proposed that the type of knowledge to be used should be determined by the task to be undertaken, and that the qualitative methods emerging from knowledge-based systems work complement the traditional analytic modelling techniques. The combination of these methods allows the formation of an abstraction hierarchy that provides a robust architecture for multilevel problem solving.

Keywords

KNOWLEDGE-BASED SYSTEMS
DIGITAL SIMULATION
KNOWLEDGE ENGINEERING
QUALITATIVE METHODS
EXPERT SYSTEMS
MULTILEVEL PROBLEM SOLVING
ABSTRACTION HIERARCHY
ANALYTIC MODELLING
COMPLEX DYNAMIC SYSTEM MODELLING

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