4.4 Article

Mean square exponential stability of stochastic nonlinear delay systems

Journal

INTERNATIONAL JOURNAL OF CONTROL
Volume 90, Issue 11, Pages 2384-2393

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/00207179.2016.1249030

Keywords

Stochastic nonlinear delay system; polynomial growth condition; global Lipschitz condition; mean square globally exponential stability; stabilisation

Funding

  1. Alexander von Humboldt Foundation of Germany [CHN/1163390]
  2. National Natural Science Foundation of China [61374080, 11531006]
  3. National Natural Science Foundation of Jiangsu Province [BK20161552]
  4. Qing Lan Project of Jiangsu Province
  5. Priority Academic Program Development of Jiangsu Higher Education Institutions

Ask authors/readers for more resources

In this paper, we are concernedwith the stability of stochastic nonlinear delay systems. Different from the previous literature, we aim to show that when the determinate nonlinear delay system is globally exponentially stable, the corresponding stochastic nonlinear delay system can be mean square globally exponentially stable. In particular, we remove the linear growth condition and introduce a new polynomial growth condition for g(x(t), x(t-tau(t))), which overcomes the limitation of application scope and the boundedness of diffusion term form. Finally, we provide an example to illustrate our results.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available