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https://hdl.handle.net/2440/82507
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Type: | Journal article |
Title: | Exponential stability analysis for neural networks with time-varying delay |
Author: | Wu, M. Liu, F. Shi, P. He, Y. Yokoyama, R. |
Citation: | IEEE Transactions on Cybernetics, 2008; 38(4):1152-1156 |
Publisher: | IEEE-Inst Electrical Electronics Engineers Inc |
Issue Date: | 2008 |
ISSN: | 1083-4419 1941-0492 |
Statement of Responsibility: | Min Wu, Fang Liu, Peng Shi, Yong He, and Ryuichi Yokoyama |
Abstract: | This correspondence paper focuses on the problem of exponential stability for neural networks with a time-varying delay. The relationship among the time-varying delay, its upper bound, and their difference is taken into account. As a result, an improved linear-matrix-inequality-based delay-dependent exponential stability criterion is obtained without ignoring any terms in the derivative of Lyapunov-Krasovskii functional. Two numerical examples are given to demonstrate its effectiveness. |
Keywords: | Algorithms Models, Theoretical Computer Simulation Neural Networks, Computer |
Rights: | © 2008 IEEE |
DOI: | 10.1109/TSMCB.2008.915652 |
Published version: | http://dx.doi.org/10.1109/tsmcb.2008.915652 |
Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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