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Article Citation - WoS: 2Citation - Scopus: 2Global Robust Stability of Interval Delayed Neural Networks(inst Engineering Technology-iet, 2009) Singh, V.; Sıngh, Vımal; Sıngh, Vımal; Department of Mechatronics Engineering; Department of Mechatronics EngineeringIn recent years, the problem of global robust stability of Hopfield-type interval delayed neural networks has received considerable attention. A number of criteria for the global robust stability of such networks have been reported in the literature. On the basis of the idea of dividing (in respect of both the connection weight matrix A and the delayed connection weight matrix B) the given interval into two intervals, four new criteria for the global robust stability of such networks are established. The criteria are in the form of linear matrix inequality and, hence, computationally tractable. The criteria yield a less conservative condition compared with many recently reported criteria, as is demonstrated with an example.Editorial Citation - WoS: 2Citation - Scopus: 2Robust Stability of Cellular Neural Networks With Delay: Linear Matrix Inequality Approach - Reply(inst Engineering Technology-iet, 2007) Singh, V.[No Abstract Available]Article Citation - WoS: 4Citation - Scopus: 5Improved Global Robust Stability Criterion for Interval Delayed Neural Networks(inst Engineering Technology-iet, 2009) Singh, V.A novel criterion for the global robust stability of Hopfield-type interval neural networks with delay is presented. Some existing criteria turn out to be special cases of the present criterion. An example shows the effectiveness of the present criterion.
