模糊惯性BAM神经网络固定时间同步  

FIXED-TIME SYNCHRONIZATION OF FUZZY INERTIAL BAM NEURAL NETWORKS WITH TIME-VARYING AND UNBOUND DELAYS

作　　者：叶宜豪 江明辉[1] 章雅丹 YE Yi-hao;JIANG Ming-hui;ZHANG Ya-dan(College of Science,China Three Gorges University,Yichang 443000,China)

机构地区：[1]三峡大学理学院,湖北宜昌443000

出　　处：《南阳理工学院学报》2023年第4期116-123,共8页Journal of Nanyang Institute of Technology

摘　　要：研究了具有时变无界时滞的模糊惯性BAM神经网络的固定时间同步问题。首先,使用压缩映射原理,证明其平衡点存在的唯一性。其次,通过设计Lyapunov函数和反馈控制器,采用非降阶法得到其固定时间同步判定准则。最后,通过数值仿真验证了结果的正确性。The fixed-time synchronization problem of fuzzy inertial BAM neural network with time-varying and unbound delays is studied.Firstly,the existence and uniqueness of the equilibrium point is proved by using the contraction mapping principles.Secondly,the Lyapunov function and feedback controller are designed,and the fixed time synchronization criterion is obtained by non-reduced order method.Finally,the correctness of the results is verified by numerical simulation.

关 键 词：模糊惯性BAM神经网络 固定时间同步 时变无界时滞 存在唯一性 

分 类 号：O231.2[理学—运筹学与控制论]