Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4633415 | Applied Mathematics and Computation | 2009 | 12 Pages |
Abstract
Without assuming that the neuron activations are bounded, some delay-independent criteria for interval delayed neural networks with discontinuous neuron activations are derived to guarantee global robust stability by using the generalized Lyapunov method and linear matrix inequality (LMI) technique. The obtained results improve and extend those given in earlier literature, and two numerical examples are also given to show the effectiveness of our results.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Zhenyuan Guo, Lihong Huang,