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Part of book or chapter of book . 2021
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https://doi.org/10.5772/5396...
Part of book or chapter of book . 2008 . Peer-reviewed
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Fuzzy Stabilization of Fuzzy Control Systems

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book 01 May 2008 English Publisher:I-Tech Education and Publishing
Authors: Elkhatib, Mohamed M.; Soraghan, John J.;

doi: 10.5772/5396

Fuzzy Stabilization of Fuzzy Control Systems

Abstract

This chapter presented a practical approach to stabilize fuzzy systems based on adaptive nonlinear feedback using a fuzzy stabilizer in the feedback loop. For this we needed to identify the nonlinearity range of the system. The fuzzy stabilizer is tuned so that the system nonlinearities lie in a bounded sector as delivered by using the circle criterion theory. Because of circle criterion’s graphical nature; the designer is given a physical feel for the system. The concept has been used to ensure stability of a car-like robot controller. In addition, the idea has been extended to stabilize MIMO systems based on the additively decomposition technique.

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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!
2
Average
Average
Average
Green
hybrid
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