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Function Projective Synchronization between Three-Cell Quantum-CNN Hyperchaotic System and 6th-order Cellular Neural Network System with Uncertain Parameters

机译:具有不确定参数的三单元量子 - CNN超声系统与6阶蜂窝神经网络系统的功能投影同步

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This paper addresses the function projective synchronization problem between 3-cell Quantum cellular neural network hyperchaotic system and 6th-order cellular neural network system in the presence of unknown system parameters. Quantum-CNN systems produce nano scale chaotic controllers under certain conditions. Based on Lyapunov stability theory the adaptive control law and the parameter update law are proposed to make the states of the 3-cell Quantum-CNN hyperchaotic system and 6th-order cellular neural network system asymptotically synchronized. Numerical simulations are presented to demonstrate the effectiveness of the proposed synchronization schemes.
机译:本文在存在未知的系统参数存在下,解决了3单元量子蜂窝神经网络超声系统和第六阶蜂窝神经网络系统的函数投影同步问题。量子CNN系统在某些条件下产生纳米垢混沌控制器。基于Lyapunov稳定性理论,建议采用自适应控制法和参数更新法,使得3细胞量子-CNN超混沌系统和渐近同步的第6级蜂窝神经网络系统的状态。提出了数值模拟以证明所提出的同步方案的有效性。

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