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This paper investigates the problem of robust stability for bidirectional associative memory (BAM) neural networks of neutral type with time-varying delays and linear fractional uncertainties. By employing integral equality and constructing a new Lyapunov-Krasovskii functional, a sufficient criterion is proposed on robust asymptotic stability for a given BAM neural networks with linear fractional uncertainties. The parameters uncertainties are expressed in a linear fractional form, which includes the norm bounded uncertainties as a special case. Numerical examples are provided to illustrate the effectiveness and less conservatism of the main result.

Robust stability analysis for BAM neural networks of neutral type with time-varying delays and linear fractional uncertainties