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Stability Criterion for BAM Neural Networks of Neutral-Type with Interval Time-Varying Delays
2011
Procedia Engineering
In this paper, the asymptotic stability for bidirectional associative memory (BAM) neural networks of neutral-type with interval time-varying delays is investigated. The discrete delay is assumed to be time-varying and belong to a given interval, which means that the lower and upper bounds of interval time-varying delays are available. By employing the Lyapunov-Krasovskii functional method and using the linear matrix inequality (LMI) technique, a new delay-range-dependent stability criterion is
doi:10.1016/j.proeng.2011.08.534
fatcat:ns6joy7pkngw7eacc5ekpw3eiq