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Fuzzy Logic Control

Advances in Applications
Authors: Henk B Verbruggen; Robert Babuška;

Fuzzy Logic Control

Abstract

Tutorials - an overview of fuzzy modelling and model-based fuzzy control, R. Babuska fuzzy control - from heuristic PID to optimization-based nonlinear control, K.-E. Arzen and M. Johansson surveys on advanced methodologies - neuro-fuzzy methods, D. Nauck complexity reduction methods for fuzzy systems design, M. Setnes fuzzy decisions for control systems, U. Kaymak fuzzy techniques in fault detection, isolation and diagnosis, P.M. Frank and T. Marcu applications - high level process control in the cement industry by fuzzy logic, J.-J. Ostergaard fuzzy logic for paper and pulp management, H. Hellendoorn implementing fuzzy control in the manufacture of washing powders, M. Setnes semi-mechanistic modelling and its application to biochemical processes, H.A.B. te Braake et al fuzzy control of a filling system in packaging machinery, C. Fantuzzi and F. Basissi fault detection and diagnosis of electro-mechanical drives and actuators, R. Isermann and D. Fuessel fuzzy logic for traffic management and control, H. Hellendoorn fuzzy modelling and control in avionics, G. Schram et al medical applications of fuzzy logic control, D.A. Linkens and M.F. Abbod linear design approach to a fuzzy controller, J. Jantzen.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Average
Top 10%
Average
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