This dissertation presents the studies of genetic algorithms (GA) based model structure and parameters conjunct identification, PID optimization, and the engineering application method.
本论文是基于遗传算法(GA)的模型结构和参数共同辨识、PID参数的优化整定和工程应用方法的研究。
To identification the model structures of helicopter efficiently, a new robust criterion for model structure selection is developed.
提出了一砷能有效地对直升机模型进行辨识的鲁棒选择模型的新方法。
The proposed method can accomplish the structure identification and the parameter identification of the fuzzy model in the same time, and implements the on-line identification of the fuzzy model.
该方法利用模糊似然函数对样本数据进行聚类，并使模糊模型的结构辨识和参数辨识能同时完成，从而实现模糊模型的在线辨识。
The engineering example proves that the parameter identification method will make the computer model accordant to the practice structure, and better control to construction stage will be achieved.
实例证明采用该方法进行参数识别可以使计算模型基本上与实际结构相一致，在此基础上可以实现时施工状态进行更好的控制。
The basic logic of this structure is to abide by the norms of risk management model designed, in accordance with risk identification - risk measurement - risk management.
本文的基本逻辑结构是遵循规范的风险管理理论模式设计的，即按照风险识别—风险计量—风险管理的基本层次展开。
The two main problem of measurement-based load modeling is model structure based on measured load characteristics data and the model parameters identification.
总体测辨法负荷建模的两个主要问题是基于实测负荷特性数据的模型结构和模型参数的辨识。
This paper presented a parameter identification method based on the structure of human fuzzy control model known, and tried to identificate parameters of the model.
本文根据已知的人的模糊控制模型，提出了一种参数辨识方法，并进行了参数辨识实验。
The structure identification of the model on the linear system is virtually to determine the structure parameter of the model.
线性系统的模型结构辨识实质上就是确定模型的结构参数。
Results of identification show that the Elman's recurrent model is superior to the traditional model. It is adaptive to the identification of the non linear and uncertain structure.
辨识结果表明，动态递归网络模型优于传统辨识模型，适于非线性、不确定结构的辨识。
Here, we suppose that the model structure is unknown. A unified description method of model set of multi-model system, including the identification method of model structure and parameter, is given.
这里不假定模型结构已知，给出了多模型系统模型族的统一描述方法，包括模型结构与参数的辨识方法。
Numerical simulation analysis shows that the curvature model has a little sensitivity to damage of structures; it is an effective method to evaluate many damage locations identification of structure.
数值模拟算例分析表明，曲率模态对结构的损伤较敏感，用该方法识别结构的多点损伤位置是行之有效的。
On the aspect of model identification, we specially study the selection techniques for nonlinear model structure with linear parameters and the corresponding algorithms.
在模型辨识方面，我们专门研究了参数线性的非线性模型结构的选择技术及其算法。
In the paper online identification based on time window and least square support vector machine (LSSVM) for T-S model is proposed, including structure and parameter identification.
本文提出了基于时间窗的最小二乘支持向量机t - S模型在线辨识算法，包括结构辨识和参数辨识。
From the discrete solution of the equation of vibration of engineering structure, the equalility of the neural network based time domain identification and the ARMA model was verified.
基于自回归滑动平均模型（ARMA），利用时间序列建模，提出了利用组合模型对网络流量进行预测的方法。
The identification results of the 3-dof model parameters show that the continuous wavelet transform has high accuracy for the modal parameter identification of the large-scale structure.
通过三自由度模型模态参数的辨识，表明连续小波变换对于大型结构的模态参数辨识准确度高，具有现实意义。
The identification results of the 3-dof model parameters show that the continuous wavelet transform has high accuracy for the modal parameter identification of the large-scale structure.
通过三自由度模型模态参数的辨识，表明连续小波变换对于大型结构的模态参数辨识准确度高，具有现实意义。
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