It is shown that the presented method of identification features high precision, fast experimental data handling and on-line process identification, and is superior in engineering application.
从辨识的结果来看，这种辨识方法具有精度高、处理实验数据迅速、能进行在线辨识等特点，能够较好地满足工程应用的要求。
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.
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。
This model, as a part of the overall design of control system, shall be the base of on-line identification and process optimization in the future.
该模型为控制系统总体设计的一个部分，是下一步进行模型在线识别、寻优的基础。
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