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Finite‐time Stability on a Class of Non‐autonomous SICNNs with Multi‐proportional Delays
Author(s) -
Yu Yuehua
Publication year - 2017
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1323
Subject(s) - control theory (sociology) , stability (learning theory) , class (philosophy) , mathematics , differential (mechanical device) , artificial neural network , exponential stability , stability theory , computer science , engineering , control (management) , physics , artificial intelligence , nonlinear system , quantum mechanics , machine learning , aerospace engineering
This paper is concerned with the problem of finite‐time stability for a class of non‐autonomous shunting inhibitory cellular neural networks with multi‐proportional delays. An explicit criterion for the finite‐time stability of the system has been proposed by employing the differential inequality techniques. Moreover, an illustrative example and its numerical simulations are given to demonstrate the effectiveness of the obtained result.