New stability criteria for a class of systems arising in neural network control and fuzzy systems

Y. Fang; T. G. Kincaid; S. Li

doi:10.1243/0959651001540474

New stability criteria for a class of systems arising in neural network control and fuzzy systems

Y. Fang, T. G. Kincaid, S. Li

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

In this paper, the stability of a class of systems arising from neural control and fuzzy systems is studied. A new unifying stability criterion is presented using a very simple derivation. This result generalizes some previous results; some easily testable conditions are obtained. © IMechE 2000.

Original language	English
Pages (from-to)	1-7
Journal	Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
Volume	214
Issue number	1
DOIs	https://doi.org/10.1243/0959651001540474
Publication status	Published - 14 Feb 2000
Externally published	Yes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

Fuzzy systems
Neural control
Neural networks
Stability

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abstract = "In this paper, the stability of a class of systems arising from neural control and fuzzy systems is studied. A new unifying stability criterion is presented using a very simple derivation. This result generalizes some previous results; some easily testable conditions are obtained. {\textcopyright} IMechE 2000.",

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New stability criteria for a class of systems arising in neural network control and fuzzy systems. / Fang, Y.; Kincaid, T. G.; Li, S.
In: Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, Vol. 214, No. 1, 14.02.2000, p. 1-7.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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AU - Fang, Y.

AU - Kincaid, T. G.

AU - Li, S.

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2000/2/14

Y1 - 2000/2/14

N2 - In this paper, the stability of a class of systems arising from neural control and fuzzy systems is studied. A new unifying stability criterion is presented using a very simple derivation. This result generalizes some previous results; some easily testable conditions are obtained. © IMechE 2000.

AB - In this paper, the stability of a class of systems arising from neural control and fuzzy systems is studied. A new unifying stability criterion is presented using a very simple derivation. This result generalizes some previous results; some easily testable conditions are obtained. © IMechE 2000.

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KW - Neural control

KW - Neural networks

KW - Stability

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JF - Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering

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New stability criteria for a class of systems arising in neural network control and fuzzy systems

Abstract

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Research Keywords

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