摘要
针对RSA加密算法的安全性问题,提出了在实际应用中要使该算法有较高的防破解强度,在大素数的选择上的具体要求,给出了选择高质量的大素数的有效方法.研究了RSA加密后的密文要不被破译,算法中p、q和d除了要选用大素数外,还应满足其他条件,并对一些不当的选择可能造成的泄密给出了相应的证明.
In this paper,the hybrid modelling of neural network is introduced into the active control of the flexible structure vibration, which is controlled by discrete Variable Structure Control （VSC） method based on the hybrid model. The the discrete sliding mode surface is determined by the quadratic optimal cost function and solved from the algebraic Riccati e quation based on the nominal system. To reduce the chatter coming from the large uncertainty of the system, the hybrid model of neural network and nominal system is adopted. The Neural Network （NN） method that is multilayer feed-forward neural network （MFNN） is adopted to model the uncertainty part. VSC is determined by the hybrid model of the nominal model and NN. The simulation shows that the vibration of the structure has been reduced clearly, which indicates the Neural Network Variable Structure Control （NNVSC） scheme is very effective for the large uncertainty system.
出处
《西安工业学院学报》
2005年第2期130-133,共4页
Journal of Xi'an Institute of Technology
关键词
大素数
加密
解密
安全性
RSA
variable structure control
neural network
flexible structure
hybrid model
