Delay Dependent Exponential Stability for Fuzzy Recurrent Neural Networks with Interval Time-Varying Delay |
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Authors: | R. Chandran P. Balasubramaniam |
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Affiliation: | 1. Department of Mathematics, Gandhigram Rural Institute, Deemed University, Gandhigram, 624 302, Tamilnadu, India 2. Department of Computer Science, Government Arts College, Melur, Madurai, 625 106, Tamilnadu, India
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Abstract: | In this paper, the problem of delay-dependent exponential stability for fuzzy recurrent neural networks with interval time-varying delay is investigated. The delay interval has been decomposed into multiple non equidistant subintervals, on these interval Lyapunov-Krasovskii functionals (LKFs) are constructed to study stability analysis. Employing these LKFs, an exponential stability criterion is proposed in terms of Linear Matrix Inequalities (LMIs) which can be easily solved by MATLAB LMI toolbox. Numerical example is given to illustrate the effectiveness of the proposed method. |
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