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Evolving Rule-Based Models : a Tool for Design of Flexible Adaptive Systems

Author: Plamen P Angelov
Publisher: Heidelberg : Physica-Verlag HD : Imprint : Physica, 2002.
Series: Studies in fuzziness and soft computing, 92.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Plamen P Angelov
ISBN: 9783790817942 3790817945
OCLC Number: 851377708
Description: 1 online resource (xiii, 213 pages).
Contents: Introduction --
Part I: System Modelling: Basic Principles: Conventional Methods; Flexible Models --
Part II: Flexible Models Identification: Non-linear Approach to (Off-line) Identification of Flexible Models; Quasi-linear Approach to FRB Models (Off-line) Identification; Intelligent and Smart Adaptive Systems; On-line Identification of Flexible TSK-type Models --
Part III: Engineering Applications: Modelling Indoor Climate Control Systems; On-line Modelling of Fermentation Processes; Intelligent Risk Assessment; Conclusions.
Series Title: Studies in fuzziness and soft computing, 92.
Responsibility: by Plamen P. Angelov.

Abstract:

Some other branches have appeared recently like intelligent agents (which migrated from robotics to different engineering fields), data fusion, knowledge extraction etc., which are inherently related  Read more...

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