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研究了强流离子束在周期磁场聚焦通道中传输时产生的束晕-混沌动力学行为,采用周期磁场聚焦强度形式为与实际相近的余弦函数形式。利用神经网络方法对非线性复杂系统控制的优越性,提出前馈反传神经网络方法对强流离子束中束晕-混沌进行自适应控制。通过适当选择的神经网络控制
The dynamics of beam halo - chaos generated by strong ion beam propagating in the periodic magnetic field focusing channel are studied. The form of the cosine function is similar to the actual intensity of the periodic magnetic field. By using the neural network method to control the nonlinear complex system, the feedforward back propagation neural network method is proposed to adaptively control beam halo - chaos in strong current ion beam. Control by a properly chosen neural network