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Neural Processing Letters
Erschienen in: Neural Processing Letters 2/2019

30.04.2018

Stabilization of Switched Stochastic Genetic Regulatory Networks with Leakage and Impulsive Effects

verfasst von: S. Pandiselvi, R. Raja, Jinde Cao, G. Rajchakit

Erschienen in: Neural Processing Letters | Ausgabe 2/2019

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Abstract

In this paper, the global asymptotical stability analysis problem is considered for stabilization of switched stochastic genetic regulatory networks with leakage and impulsive effects. Using the method of Lyapunov function, sufficient conditions are derived based on the linear matrix inequality (LMI) technique, which can easily be checked by utilizing the numerically efficient Matlab LMI toolbox. Finally, two numerical examples are given to expo the capability and efficiency of our results.
Vorheriger Artikel Finite-Time Non-fragile Dissipative Stabilization of Delayed Neural Networks
Nächster Artikel Multi-View Intact Space Learning for Tinnitus Classification in Resting State EEG

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Metadaten
Titel
Stabilization of Switched Stochastic Genetic Regulatory Networks with Leakage and Impulsive Effects
verfasst von
S. Pandiselvi
R. Raja
Jinde Cao
G. Rajchakit
Publikationsdatum
30.04.2018
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 2/2019
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-018-9843-3

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