Output Convergence of Fuzzy Neurodynamic System With Piecewise Constant Argument of Generalized Type and Time-Varying Input
作者： Ailong Wu , Zhigang Zeng
DOI: 10.1109/TSMC.2016.2524060
关键词:
摘要: In this paper, we investigate a general class of fuzzy neurodynamic systems with piecewise constant argument generalized type. Meanwhile, the time-varying input is under consideration. The pseudo-equilibria new type formulated and studied. Several sufficient conditions are obtained to ensure existence uniqueness solutions. addition, global output convergence such system examined in detail. simulation examples also given verify effectiveness theoretical property potential application analog associative memory.
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