Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
756085 | Communications in Nonlinear Science and Numerical Simulation | 2011 | 11 Pages |
Abstract
This paper is concerned with delay-dependent stability analysis for uncertain Tagaki–Sugeno (T-S) fuzzy Hopfield neural networks (UFHNNs) with time-varying delay. By decomposing the delay interval into multiple equidistant subintervals, Lyapunov–Krasovskii functionals (LKFs) are constructed on these intervals. Employing these LKFs, a new stability criterion is proposed in terms of Linear Matrix Inequalities (LMIs), which is dependent on the size of the time delay and can be easily verified by MATLAB LMI toolbox. Numerical examples are given to illustrative the effectiveness of the proposed method.
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Authors
P. Balasubramaniam, R. Chandran,