The control for speed limitation on freeway is a nonlinear and time variable system, it is difficult to model with a mathematical model. A control method based on RBF Neural Network is put forward.
针对高速公路限速控制是一个非线性时变系统、难以用数学模型准确建模这一特点，提出了R BF神经网络控制方法。
Features of some main design methods of variable structure control for discrete time systems are analyzed based on a new method presented to guarantee good performance of variable structure systems.
在此基础上提出了一种新的控制方法，使所得到的变结构控制系统具有良好的性能。
Features of some main design methods of variable structure control for discrete time systems are analyzed based on a new method presented to guarantee good performance of variable structure systems.
在此基础上提出了一种新的控制方法，使所得到的变结构控制系统具有良好的性能。
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