State estimation for recurrent neural networks with unknown delays: A robust analysis approach

Title
State estimation for recurrent neural networks with unknown delays: A robust analysis approach
Authors
Keywords
Recurrent neural networks, State estimation, Unknown delay, L∞ stable, Global asymptotic stability, Performance index
Journal
NEUROCOMPUTING
Volume 227, Issue -, Pages 29-36
Publisher
Elsevier BV
Online
2016-11-19
DOI
10.1016/j.neucom.2016.07.061

Ask authors/readers for more resources

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started