无论是理想的数学模型还是实际工业模型，计算机仿真结果均证明，将P ID型网络用于动态系统辨识具有更好的逼近效果。

Simulation results based on ideal mathematical model and industrial model show that the PID Elman network is prior to the modified Elman network in identification of nonlinear dynamic systems.

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它将有关循环系统的生理和物理学知识整合起来，构成数学模型，然后进行计算机仿真研究。

Mathematical models are usually developed by integrating the knowledge of physiology and physics related to circulation system, and then are studied with computer simulation.

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提出了数字电液比例系统的数学模型及控制规律，并进行了计算机仿真及实验验证。

Mathematical model and control law of the digital electro hydraulic proportion system are put forward. Furthermore, computing simulation and experimental verification are carried out.

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