Global Ezponential Stability of Delayed FCNNs with Reaction-Diffusion Terms

摘要：

In this paper, by constructing a suitable Lyapunov functional and utilizing some inequality techniques, we obtain some sufficient conditions for global exponential stability of delayed fuzzy cellular neural networks (FCNNs) with reaction-diffusion terms. The result is also easy to check and plays an important role in the design and applications of globally exponentially stable fuzzy neural circuits. Finally, an example is given to show the effectiveness of the obtained result.

关键词： fuzzy cellular neural networks stability reaction-diffusion equilibrium point

作者: Chaojin Fu Ailong Wu

作者单位: Department of Mathematics, Hubei Normal University, Huangshi 435002, P.R. China

会议类型: 国际会议

会议名称: The First World Congress on Global Optimization in Engineering & Science(第一届工程与科学全局优化国际会议 WCGO2009)

会议地点: 长沙

会议语种:英文

页码: 857-861

在线出版日期: 2009-06-01（万方平台首次上网日期，不代表论文的发表时间）