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

• Published in: IEEE access Vol. 9; pp. 89461 - 89475
• Main Authors: Phanlert, Chalida, Botmart, Thongchai, Weera, Wajaree, Junsawang, Prem
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: <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 ∞ and passivity; Criteria; Delays; Derivatives; finite-time bounded; Inequality; Integral equations; Integrals; Linear matrix inequalities; Lyapunov-Krasovskii function; Mathematical analysis; Neural networks; Numerical stability; Passivity; Stability criteria; Symmetric matrices; time-varying delays
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2021.3089374

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 discre...