ractical finite-time synchronization of delayed fuzzy cellular neural networks with fractional-order

主 讲 人 ：杜飞飞    副教授

活动时间：11月17日11时00分    

地      点 ：腾讯会议 会议号：488-494-939

讲座内容：

The practical finite-time (PFT) synchronization of fractional-order delayed fuzzy cellular neural networks (FODFCNNs) is presented in this talk. Initially, a useful practical finite time (FT) stable lemma is developed, serving as an efficient instrument for the PFT synchronization of fractional-order systems. Subsequently, a new PFT synchronization criterion for FODFCNNs is derived using the designed controller and the aforementioned lemma. Simultaneously, the settling time for PFT synchronization is determined, relying on specific controller parameters and the initial conditions of the considered systems. Ultimately, the accuracy of the derived outcomes is confirmed through a numerical simulation.

主讲人介绍：

杜飞飞，西北农林科技大学副教授，硕士生导师。2018年毕业于中山大学基础数学专业，获理学博士学位。先后在美国内布拉斯加大学林肯分校和上海交通大学开展访问学者和博士后研究工作。主要从事分数阶神经网络有限时间控制、离散时间分数阶系统稳定性等方面的研究工作。近年来主持中国博士后科学基金等科研项目4项，在IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Fuzzy Systems、Information Sciences、Fuzzy Sets and Systems、Communications in Nonlinear Science and Numerical Simulation等国内外著名期刊发表学术论文30余篇，其中3篇入选ESI高被引论文，1篇入选ESI热点论文。

发布时间：2024-11-15 10:22:31