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Delay-range-dependent stability for fuzzy BAM neural networks with time-varying delays |
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| Authors: | Bin Liu Peng Shi |
| Affiliation: | a Department of Electrical & Information Engineering College, Shaanxi University of Science and Technology, Xi'an 710021, Shaanxi, PR China b Department of Computing and Mathematical Sciences, University of Glamorgan, Pontypridd, CF37 1DL, United Kingdom c School of Engineering and Science, Victoria University, Melbourne, Vic 8001, Australia |
| Abstract: | This Letter considers the problem of delay-range-dependent stability for fuzzy bi-directional associative memory (BAM) neural networks with time-varying interval delays. Based on Lyapunov-Krasovskii theory, the delay-range-dependent stability criteria are derived in terms of linear matrix inequalities (LMIs). By constructing new Lyapunov-Krasovskii functional, stability conditions are dependent on the upper and lower bounds of the delays, which is made possible by using some advanced techniques for achieving delay dependence. A numerical example is given to illustrate the effectiveness of the proposed method. |
| Keywords: | 02.30.Ks 02.60.Cb 05.45.Pq |
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