Scholarlink

<p>The present article addresses the dissipative examination of Dynamic Systems, namely Inertial Neural Networks with memristor, parameter uncertainty and delays such as time-varying, distributed. A suitable variable substitution is implemented to convert the inertial system to the first order differential system. Exploiting the concept of matrix measure and properties to the Lyapunov function, a sufficient criteria for dissipative of the dynamical system is achieved through a generalized Halanay Inequality. Concurrently, the globally attractive sets are extracted from the network system with bound. The derived results are new-fangled concerning the dynamical systems with complex- the inertial and memristor term along with the mixed delays and parameter uncertainties. Finally, the numerical simulations are presented for better clarification and testimonial of obtained dissipative criteria with pictorial representation.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Global Dissipative Examination of Delayed Memristive Inertial Neural Networks with Uncertain Parameters

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年10月6日

查看全文
  • S. Premalatha,
  • M. M. Shanmugapriya,
  • P. Indumathi,
  • S. Santhosh Kumar

摘要

The present article addresses the dissipative examination of Dynamic Systems, namely Inertial Neural Networks with memristor, parameter uncertainty and delays such as time-varying, distributed. A suitable variable substitution is implemented to convert the inertial system to the first order differential system. Exploiting the concept of matrix measure and properties to the Lyapunov function, a sufficient criteria for dissipative of the dynamical system is achieved through a generalized Halanay Inequality. Concurrently, the globally attractive sets are extracted from the network system with bound. The derived results are new-fangled concerning the dynamical systems with complex- the inertial and memristor term along with the mixed delays and parameter uncertainties. Finally, the numerical simulations are presented for better clarification and testimonial of obtained dissipative criteria with pictorial representation.