Output Convergence of Fuzzy Neurodynamic System With Piecewise Constant Argument of Generalized Type and Time-Varying Input
研究了一类具有广义型分段常数自变量和时变输入的模糊神经动力系统，提出了伪平衡态概念，给出了解存在唯一性的充分条件，并详细分析了全局输出收敛性，通过仿真验证了理论在模拟联想记忆中的潜在应用。
In this paper, we investigate a general class of fuzzy neurodynamic systems with piecewise constant argument of generalized type. Meanwhile, the time-varying input is under consideration. The pseudo-equilibria of this new type of neurodynamic systems is formulated and studied. Several sufficient conditions are obtained to ensure the existence and uniqueness of solutions. In addition, the global output convergence of such neurodynamic system is examined in detail. Several simulation examples are also given to verify the effectiveness of theoretical property and a potential application in analog associative memory.