Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10326442 | Neurocomputing | 2016 | 18 Pages |
Abstract
In this brief, a novel partitioning method for the conditions on bounding the activation function in the stability analysis of neural networks systems with time-varying delays is presented. Certain further improved delay-dependent stability conditions, which are expressed in terms of linear matrix inequalities (LMIs), are derived by employing a suitable Lyapunov-Krasovskii functional (LKF) and utilizing the Wirtinger integral inequality. Two well-known examples are investigated in a comparison mode with results to show the effectiveness and improvements achieved by the new results proposed.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Bin Yang, Rui Wang, Georgi M. Dimirovski,