NDLI: An improved global stability result for cellular neural networks with time delay

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An improved global stability result for cellular neural networks with time delay

Content Provider	IEEE Xplore Digital Library
Author	Arik, S.
Copyright Year	2002
Description	Author affiliation: Dept. of Electr.-Electron. Eng., Istanbul Univ., Turkey (Arik, S.)
Abstract	This paper presents a sufficient condition for the uniqueness and global asymptotic stability of the equilibrium point for delayed cellular neural networks, which improves the previous stability results derived in the literature.
Sponsorship	Johann Wolfgang Goethe Univ. IEEE Circuits & Syst. (CAS) Soc. German Nat. Soc. Found.(Deutsche Forschungsgeinschaft) Office of Naval Res. Int. Field Office US Navy (ONRIFO) USAF Eur. Office of Aerospace Res. & Dev.(EOARD)
Starting Page	47
Ending Page	54
File Size	268712
Page Count	8
File Format	PDF
ISBN	981238121X
DOI	10.1109/CNNA.2002.1035034
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-07-24
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	World Scientific Publishing Co Pte Ltd.
Subject Keyword	Cellular neural networks Delay effects Asymptotic stability Equations Sufficient conditions Neurofeedback State feedback Neural networks Mathematical model Stability analysis
Content Type	Text
Resource Type	Article

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