文章基本信息

标题：Hybrid Feedback Control for Exponential Stability and Robust H∞ Control of a Class of Uncertain Neural Network with Mixed Interval and Distributed Time-Varying Delays
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作者：Charuwat Chantawat ; Thongchai Botmart ; Rattaporn Supama 等
期刊名称：Computation
电子版ISSN：2079-3197
出版年度：2021
卷号：9
期号：6
页码：62
DOI：10.3390/computation9060062
出版社：MDPI Publishing
摘要：This paper is concerned the problem of robust H∞ control for uncertain neural networks with mixed time-varying delays comprising different interval and distributed time-varying delays via hybrid feedback control. The interval and distributed time-varying delays are not necessary to be differentiable. The main purpose of this research is to estimate robust exponential stability of uncertain neural network with H∞ performance attenuation level γ. The key features of the approach include the introduction of a new Lyapunov–Krasovskii functional (LKF) with triple integral terms, the employment of a tighter bounding technique, some slack matrices and newly introduced convex combination condition in the calculation, improved delay-dependent sufficient conditions for the robust H∞ control with exponential stability of the system are obtained in terms of linear matrix inequalities (LMIs). The results of this paper complement the previously known ones. Finally, a numerical example is presented to show the effectiveness of the proposed methods.
关键词：neural networks; H ∞ control; hybrid feedback control; mixed time-varying delay neural networks ; H ∞ control ; hybrid feedback control ; mixed time-varying delay