仿真实例进一步表明,采用神经网络建立未知非线性动态系统的在线模型具有可行性。
The simulation results are presented to demonstrate that the model of an unknown nonlinear dynamical system is built with the multilayered feedforward neural network model.
重点研究了这种仿真计算机系统的网络结构、协议与控制方式、系统时钟同步控制及在线故障诊断等问题。
The paper discusses the architecture of simulation computer based on microcomputer network, the communication protocol, the synchronization issues and the fault diagnoses of the simulation system.
软件部分主要由实时仿真支撑软件、仿真计算模型软件、系统通讯软件、在线仿真界面软件等组成。
The online simulation system software includes of the real-time simulation support software, the system communication software, the simulation program and the simulation interface software.
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