Adelaide Research & Scholarship
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https://hdl.handle.net/2440/83526
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| Type: | Journal article |
| Title: | Delay-range-dependent stability for fuzzy BAM neural networks with time-varying delays |
| Author: | Liu, B. Shi, P. |
| Citation: | Physics Letters A: General Physics, Nonlinear Science, Statistical Physics, Atomic, Molecular and Cluster Physics, Plasma and Fluid Physics, Condensed Matter, Cross-disciplinary Physics, Biological Physics, Nanosciences, Quantum Physics, 2009; 373(21):1830-1838 |
| Publisher: | Elsevier Science BV |
| Issue Date: | 2009 |
| ISSN: | 0375-9601 1873-2429 |
| Statement of Responsibility: | Bin Liu, Peng Shi |
| 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. © 2009 Elsevier B.V. All rights reserved. |
| Keywords: | BAM neural networks Fuzzy systems Interval delays LMIs Stability analysis |
| Rights: | © 2009 Elsevier B.V. All rights reserved. |
| DOI: | 10.1016/j.physleta.2009.03.044 |
| Published version: | http://dx.doi.org/10.1016/j.physleta.2009.03.044 |
| Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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