通过工况的识别以及模型参数的离线辨识和在线优化,混合模型可以准确地模拟复杂过程在大范围内的动态特性。
By recognition of work condition, off-line identification and on-line optimization of parameters, hybrid model can be used to simulate dynamics of complex process correctly in a large scale.
以高速公路宏观动态交通流模型为原型,利用分段辨识法分析了高速公路交通流特性。
It takes the expressway macro dynamic traffic flow model as prototype and analyzes the characteristics of expressway traffic flow with "Segment Identification Method".
仿真结果表明:所采用的辨识网络能够对倾摆控制系统的动态特性进行有效的辨识,可以解决倾摆控制系统中的非线性问题。
The simulating results show that the identification networks can effectively identify the dynamic features and solve the nonlinear problems of the titling control system.
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