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Neural Processing Letters
Erschienen in: Neural Processing Letters 3/2019

04.08.2018

Event Triggered Finite Time \(H_{\infty }\) Boundedness of Uncertain Markov Jump Neural Networks with Distributed Time Varying Delays

verfasst von: M. Syed Ali, R. Vadivel, O. M. Kwon, Kadarkarai Murugan

Erschienen in: Neural Processing Letters | Ausgabe 3/2019

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Abstract

This paper is concerned with the problem of event triggered finite time \(H_{\infty }\) boundedness of uncertain Markov jump neural networks with distributed time varying delays. To reduce the limited network bandwidth, an event triggered scheme is proposed in this paper. The main objective of this paper is to design the event triggered scheme, such that the proposed neural networks have finite time boundedness with admissible uncertainties. The integral terms in the derivative of the Lyapunov–Krasovskii functional are handled by the Wirtinger and Auxillary function based inequality techniques. The proposed conditions are represented by linear matrix inequalities to determine the finite time stability. The advantage of the method in this paper over some existing ones is shown by comparing the results with the existing results. At the end, numerical examples are given to verify the efficiency of the proposed method among them one example was supported by real-life application of the benchmark problem.
Vorheriger Artikel Real-Time Implementation of a Neural Integrator Backstepping Control via Recurrent Wavelet First Order Neural Network
Nächster Artikel Periodic Solution for -Stochastic High-Order Hopfield Neural Networks with Time Delays on Time Scales

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Metadaten
Titel
Event Triggered Finite Time Boundedness of Uncertain Markov Jump Neural Networks with Distributed Time Varying Delays
verfasst von
M. Syed Ali
R. Vadivel
O. M. Kwon
Kadarkarai Murugan
Publikationsdatum
04.08.2018
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 3/2019
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-018-9895-4

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