Scholarlink

<p>This article investigates the state estimation of fractional-order memristive systems with discrete-time terms. By considering discrete fractional calculus, we propose a novel and efficient criterion for ensuring the global Mittag–Leffler stability of the estimation error system. Additionally, by utilizing a functional that incorporates a discrete fractional sum element, we derive the stability condition for the concerned system. It is noteworthy that the proposed approach integrates a vector optimization method, which enhances the understanding of how to construct a meaningful convex closure formed by quaternions. Finally, numerical simulations are conducted to validate the theoretical results.</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

Discrete-time Mittag–Leffler state estimation for fractional-order quaternion memristive neural networks

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年10月30日

查看全文
  • Qun Huang,
  • Zhengwen Tu

摘要

This article investigates the state estimation of fractional-order memristive systems with discrete-time terms. By considering discrete fractional calculus, we propose a novel and efficient criterion for ensuring the global Mittag–Leffler stability of the estimation error system. Additionally, by utilizing a functional that incorporates a discrete fractional sum element, we derive the stability condition for the concerned system. It is noteworthy that the proposed approach integrates a vector optimization method, which enhances the understanding of how to construct a meaningful convex closure formed by quaternions. Finally, numerical simulations are conducted to validate the theoretical results.