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Stability Analysis of Impulsive Stochastic Fuzzy Cellular Neural Networks with Time-varying Delays and Reaction-diffusion Terms
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zhang, Xinhua Li, Kelin |
| Copyright Year | 2010 |
| Abstract | In this paper, the problem of stability analysis for a class of impulsive stochastic fuzzy neural networks with timevarying delays and reaction-diffusion is considered. By utilizing suitable Lyapunov-Krasovskii funcational, the inequality technique and stochastic analysis technique, some sufficient conditions ensuring global exponential stability of equilibrium point for impulsive stochastic fuzzy cellular neural networks with time-varying delays and diffusion are obtained. In particular, the estimate of the exponential convergence rate is also provided, which depends on system parameters, diffusion effect and impulsive disturbed intention. It is believed that these results are significant and useful for the design and applications of fuzzy neural networks. An example is given to show the effectiveness of the obtained results. Keywords—Exponential stability; stochastic fuzzy cellular neural networks; time-varying delays; impulses; reaction-diffusion terms. |
| Starting Page | 74 |
| Ending Page | 81 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| Volume Number | 4 |
| Alternate Webpage(s) | http://www.waset.org/journals/waset/v37/v37-74.pdf |
| Alternate Webpage(s) | http://waset.org/publications/4717/stability-analysis-of-impulsive-stochastic-fuzzy-cellular-neural-networks-with-time-varying-delays-and-reaction-diffusion-terms |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
