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General Information
    • ISSN: 2010-3719
    • Frequency: Bimonthly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Associate Executive Editor: Ms. Jennifer Zeng
    • Executive Editor: Mr. Ron C. Wu
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET).
    • E-mail ijiee@ejournal.net
Editor-in-chief

 
Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, IJIEE will be recognized among the readers in the related field."
IJIEE 2018 Vol.8(3): 23-29 ISSN: 2010-3719
DOI: 10.18178/IJIEE.2018.8.3.689

New Analysis on H Control for Exponential Stability of Artificial Neural Network with Mixed Time-Varying Delays via Hybrid Feedback Control

C. Chantawat, T. Botmart, and W. Weera
Abstract—This paper is concerned the problem of H control for artificial neural networks with mixed time-varying delays which comprising different interval and distributed time-varying delays via hybrid feedback control. The interval and distributed time-varying delays are not necessary to be differentiable. The main purpose of this research is to estimate exponential stability of artificial neural network with H performance attenuation level . The key features of the approach include the introduction of a new Lyapunov- Krasovskii functional with triple integral terms, the employment of a tighter bounding technique, some slack matrices and newly introduced convex combination condition in the calculation, improved delay-dependent sufficient conditions for the H control with exponential stability of the system are obtained in terms of linear matrix inequalities (LMIs). The results of this paper complement the previously known ones. Finally, a numerical example is presented to show the effectiveness of the proposed methods.

Index Terms—Artificial neural networks, exponential stability, H control, hybrid feedback control.

C. Chantawat and T. Botmart are with Khon Kaen University, Department of Mathematics, Khon Kaen 40002, Thailand (e-mail: charuwat_c@ kkumail.com, thongbo@kku.ac.th).
W. Weera is with University of Pha yao, Department of Mathematics, Phayao 56000, Thailand (e-mail: wajaree.we@up.ac.th).

[PDF]

Cite:C. Chantawat, T. Botmart, and W. Weera, "New Analysis on H Control for Exponential Stability of Artificial Neural Network with Mixed Time-Varying Delays via Hybrid Feedback Control," International Journal of Information and Electronics Engineering vol. 8, no. 3, pp. 23-29, 2018.

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