Ultimate Boundedness of Discrete-Time Uncertain Neural Networks with Leakage and Time-Varying Delays | Zendy

Jiajun Hua | Zendy; Danhua He | Zendy

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Ultimate Boundedness of Discrete-Time Uncertain Neural Networks with Leakage and Time-Varying Delays

Author(s) -

Jiajun Hua,

Danhua He

Publication year - 2021

Publication title -

journal of advances in mathematics and computer science

Language(s) - English

Resource type - Journals

ISSN - 2456-9968

DOI - 10.9734/jamcs/2021/v36i630377

Subject(s) - correctness , discrete time and continuous time , artificial neural network , control theory (sociology) , leakage (economics) , class (philosophy) , computer science , mathematics , mathematical optimization , algorithm , artificial intelligence , control (management) , statistics , economics , macroeconomics

In this paper, by using the general discrete Halanay inequalities, the techniques of inequalities and some other properties, we study the ultimate boundedness of a class of the discrete-time uncertain neural network systems and obtain several sufficient conditions to ensure the ultimate boundedness of discrete-time uncertain neural networks with leakage and time-varying delays. Finally numerical examples are given to verify the correctness of the conclusion.

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