Noise expresses exponential decay for globally exponentially stable nonlinear time delay systems

被引:6
作者
Yang, Qiqi [1 ]
Zhu, Song [1 ]
Luo, Weiwei [1 ]
机构
[1] China Univ Min & Technol, Coll Sci, Xuzhou 221116, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2016年 / 353卷 / 09期
关键词
RECURRENT NEURAL-NETWORKS; STABILITY ANALYSIS; DIFFERENTIAL-EQUATIONS; ROBUSTNESS ANALYSIS; ASYMPTOTIC STABILITY; PTH MOMENT; STABILIZATION; SUPPRESSES; CRITERIA; GROWTH;
D O I
10.1016/j.jfranklin.2016.03.013
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we show that noise can make a given nonlinear time delay system which is globally exponentially stable become a new stochastic one whose solution to exponential decay faster than the former. By comparing the upper bounds of noise intensity and coefficients of global exponential stability, we could deduce that noise is able to further express exponential decay for nonlinear time delay system without losing global stability. The upper bounds of noise intensity are characterized by solving transcendental equations containing adjustable parameters. In addition, a numerical example is provided to illustrate the theoretical result. (C) 2016 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:2074 / 2086
页数:13
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