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IEEE Transactions on Aerospace and Electronic Systems
Article . 1995 . Peer-reviewed
License: IEEE Copyright
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IEEE Transactions on Aerospace and Electronic Systems
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Fuzzy modeling of control systems

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1995Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Aerospace and Electronic Systems, volume 31, pages 414-429 (issn: 0018-9251, Copyright policy )
Authors: J.J. Weiss; T.T. Pham; Guanrong Chen;

doi: 10.1109/7.366323

Fuzzy modeling of control systems

Abstract

A new approach is described for fuzzy modeling of control systems. It is shown that conventional concepts and criteria of stability and controllability of a control system can be extended to a fuzzy setting. More precisely, we establish a fuzzy dynamical model for nonlinear control system, that can be consistently applied to all linear multiinput/multioutput (MIMO) systems. This modeling is a fairly general representation of fuzzy control systems, and satisfies some natural extensions of the criteria such as stability and controllability, that conventional control experts use to evaluate a control system. >

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citations
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!
29
Average
Top 10%
Top 10%
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