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离散时滞标准神经网络的无源性 被引量:1

Robust passivity for discrete-time delayed standard neural network
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摘要 研究离散时滞标准神经网络的无源性问题,通过利用Lyapunov稳定性理论,给出了离散标准神经网络的鲁棒无源性判别准则,该准则具有线性矩阵不等式形式,数值例子验证了方法的有效性. In this paper , the passivity of discrete -time delayed standard neural network is investigated .The delay-dependent passive criterion is obtained according to the theory of Lyapunov stability , and the existing of state-feedback controller is given .Numerical example verifies the feasibility of the proposed methods .
作者 朱凤娟 朱进 ZHU Feng-juan ZHU Jin(Research and Teaching Institute of College Basics, Bohai University, Jinzhou 121013, China)
出处 《渤海大学学报(自然科学版)》 CAS 2016年第3期203-207,共5页 Journal of Bohai University:Natural Science Edition
基金 国家自然科学基金(No:61503041)
关键词 时滞标准神经网络 鲁棒无源性 线性矩阵不等式 delayed standard neural network model robust passivity linear matrix inequality
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