Dynamic Experiment and System Identification of Reinforced Concrete Unit Frame With Artificial Plastic Hinges

Methods, characteristics, and experiment schemes of hydraulic power station dynamic system models identification have been firstly researched in this thesis. Then, applications of Least square algorithms, Genetic algorithm, and Pattern search algorithm to hydraulic power station dynamic system models identification have been researched.

本文首先研究了水电站动力系统模型辨识试验的方法、特点、试验方案及最小二乘类算法、遗传算法、模式搜索算法在水电站动力系统辨识中的应用。

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Hydraulic Power Station Dynamic System Models Identification

水电站动力系统模型辨识

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The research on dynamic system identification in time domain is a front subject in the field of current civil engineering. Combined with high-efficiency high-accuracy instruments for signal analysis, system identification technique based on the dynamic test is becoming an important means of damage detection of engineering structures.

结构动力学系统时域识别是当前土木工程领域的一个前沿研究课题，与高效率高精度的信号采集和分析仪器相结合，基于动力测试的系统识别技术正逐步成为工程结构健康检测的重要手段。

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In Chapter 4, we study fluctuant parameter nonlinear dynamic system identification using multi-functional link artificial neural networks. And the trained network is used to realize PSR.

第4章用函数型神经网络拟合变参数非线性系统，给出了系统的性能，将其结合BP网络实现了PSR，并考察了适用范围。

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Secondly, on the basis of dynamic system identification the transfer function model of the drive and control system is established by data processing with optimization algorithm of the complex body.

其次，对卷绕头驱动控制系统进行了动态辨识，采用复合形法优化处理实验数据，确定了其传递函数模型；

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And the algorithm is applied to Hermite function approximation, dynamic system identification and Mackey-Glass chaotic time-series prediction to confirm the effectiveness.

进而，通过Hermite函数逼近、非线性动态系统辨识和Mackey-Glass混沌时间序列预测等仿真研究，验证该算法的有效性。

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To improve the performances of dynamic system identification, a new method to formulate scaling kernel function for support vector machine was proposed.

为了提高非线性动态系统辨识质量，提出了新的支持向量机尺度核函数构造方法。

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The one main way that NN is applied to FDD is dynamic system identification with feedforward networks.

采用前馈型网络对动态系统辨识是神经网络应用到故障检测和诊断中的主要方法之一。

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In dynamic system identification simulations, our method saves almost 80% learning time and 90% storing space.

在动态系统辨识的仿真中，本文方法节省近80%的计算量和近90%的存储空间。

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Finally, fuzzy inference model applies to nonlinear dynamic system identification and further verifies its feasibility.

最后将自适应模糊推理模型应用于非线性动态系统辨识，进一步验证了它的现实可行性。

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Recurrent neural network is more suitable for nonlinear dynamic system identification because of its unique feedback characteristics.

递归神经网络因其特有的反馈特性更适用于非线性动态系统辨识。

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A new algorithm for dynamic system identification in presence of colored notse

有色噪声动态系统辨识算法

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Dynamic System Identification Based on the Conjugate Gradient Method with Momentum and Batch Techniques

带动量批处理梯度下降法对模型的动态辨识

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Support Vector Machine with Scaling Kernel and Its Application in Dynamic System Identification

尺度核支持向量机及在动态系统辨识中的应用

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An Application of Dynamic System Identification to Epidemiology

动态系统辨识在流行病学方面的应用

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Nonlinear Dynamic System Identification Based on Procedure Neural Networks

基于过程神经网络的非线性动态系统辨识

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The algorithm is proper for dynamic system identification and adaptive fuzzy control.

可为模糊系统的辨识与控制提供了一条有效的途径。

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The corrosive behavior of Pulse Vacuum Nitriding coating and plain sample were investigated by an apparatus of electrochemical measurement.

通过电化学测试方法研究了脉冲真空渗氮防腐层及裸样的抗腐蚀性能。

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A flow-through electrochemical measurement system for detecting photo-generat-ed species in solution has been developed.

报道了用于检测溶液中短寿命光生物种的流动电化学测量系统。

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The results of electrochemical measurement show that the Li+ cation transference number increased by adding Li-FER powder.

电化学测量表明，Li-FER的加入提高了聚合物电解质中的阳离子迁移数。

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