Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1893297 | Chaos, Solitons & Fractals | 2017 | 5 Pages |
Abstract
The question of estimating the upper limit of the norm ∥B∥2 of the delayed connection weight matrix B, which is a key step in some recently reported global robust stability criteria for delayed neural networks (DNNs), is considered. An estimate of the upper limit of ∥B∥2 was previously given by Cao, Huang and Qu. More recently Singh has presented an alternative estimate. Presently it is shown that an estimate of the upper limit of ∥B∥2 may be found in some cases, which would be an improvement over each of the above-mentioned two estimates. Some observations concerning the determination of the least conservative upper limit of ∥B∥2 are presented.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Vimal Singh,