This paper presents the stability theorem of cellular neural networks(CNN) with a multi-step output function.
本文给出了带 阶梯输出 函数的细胞神经网络(CNN)的稳定性定理。
By using a finite time stability theorem, it is proved that the closed loop system is globally finite time stable.
根据有限时间稳定性定理证明此时闭环系统是全局有限时间稳定的。
The results show that the stability analysis theorem is consistent with the Liapunov stability theorem for linear systems.
结果表明:该分析定理与线性系统的李雅普诺夫稳定性定理是一致的。
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