Discontinuous event-trigger scheme for global stabilization of state-dependent switching neural networks with communication delay

• 来源期刊: 中国物理B（英文版）
• 年，卷（期）: 2021,（3）
• 所属期刊栏目: GENERAL
• 页码范围: 134-144
• 页数: 11页
• 语种: 英文
• DOI: 10.1088/1674-1056/abc541

摘要

This paper is concerned with the global stabilization of state-dependent switching neural networks(SDSNNs)via discontinuous event-triggered control with network-induced communication delay.Aiming at decreasing triggering times,a discontinuous event-trigger scheme is utilized to determine whether the sampling information is required to be sent out or not.Meanwhile,under the effect of communication delay,the trigger condition and SDSNNs are transformed into two tractable models by designing a fictitious delay function.Then,using the Lyapunov-Krasovskii stability theory,some inequality estimation techniques,and extended reciprocally convex combination method,two sufficient criteria are es-tablished for ensuring the global stabilization of the resulting closed-loop SDSNNs,respectively.A unified framework is derived that has the ability to handle the simultaneous existence of the communication delay,the properties of discontinuous event-trigger scheme,as well as feedback controller design.Additionally,the developed results demonstrate a quantitative relationship among the event trigger parameter,communication delay,and triggering times.Finally,two numerical exam-ples are presented to illustrate the usefulness of the developed stabilization scheme.