Finite-Time Mixed <italic>H</italic><sub>∞</sub>/Passivity for Neural Networks With Mixed Interval Time-Varying Delays Using the Multiple Integral Lyapunov-Krasovskii Functional

Finite-Time Mixed <italic>H</italic><sub>∞</sub>/Passivity for Neural Networks With Mixed Interval Time-Varying Delays Using the Multiple Integral Lyapunov-Krasovskii Functional

In this article, we consider the finite-time mixed <inline-formula> <tex-math notation="LaTeX">$H_{\infty }$ </tex-math></inline-formula>/passivity, finite-time stability, and finite-time boundedness for generalized neural networks with interval distributed and disc...

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Bibliographic Details
Main Authors:	Chalida Phanlert, Thongchai Botmart, Wajaree Weera, Prem Junsawang
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Series:	IEEE Access
Subjects:	Neural networks Lyapunov-Krasovskii function <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">H</italic>∞ and passivity time-varying delays finite-time bounded
Online Access:	https://ieeexplore.ieee.org/document/9454480/

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