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Evolving Rule-based Models: A Tool for Design of Flexible Adaptive Systems

Research output: Book/Report/ProceedingsBook

Published

Publication date1/02/2002
Place of publicationHeidelberg, Germany
PublisherSpringer Verlag
Number of pages213
ISBN (Print)3-7908-1457-1
Original languageEnglish

Publication series

NameStudies in Fuzziness and Soft Computing
PublisherSpringer Verlag

Abstract

The objects of modelling and control change due to dynamical characteristics, fault development or simply ageing. There is a need to up-date models inheriting useful structure and parameter information. The book gives an original solution to this problem with a number of examples. It treats an original approach to on-line adaptation of rule-based models and systems described by such models. It combines the benefits of fuzzy rule-based models suitable for the description of highly complex systems with the original recursive, non iterative technique of model evolution without necessarily using genetic algorithms, thus avoiding computational burden making possible real-time industrial applications. Potential applications range from autonomous systems, on-line fault detection and diagnosis, performance analysis to evolving (self-learning) intelligent decision support systems.