• A parameters identification method of the layer soil-foundation-frame interaction system is presented.

    提出了一种层状地基—基础—框架相互作用系统的参数识别方法。

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  • This paper studied the linear structure system modal parameters identification based on Genetic Algorithms.

    本文系统地研究了基于遗传算法的线性结构系统模态参数识别方法。

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  • The emulation illustrates that the EBRLS algorithm can acquire famous parameters identification results under the discontinuou…

    EBRLS可以给出令人满意的参数辨识结果,甚至在可用数据极其稀疏的情况下仍然有效。

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  • Synchronization and parameters identification of uncertain different-structural chaotic system via active control is researched.

    研究了基于主动控制的不确定异构系统之间的同步和参数辨识问题。

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  • The paper presents a foundation parameters identification method under the condition of unknown motion input from the base rock.

    提出了一种基岩输入运动未知条件下的层状地基参数的时域识别方法。

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  • Focusing on this problem, a modal parameters identification algorithm based on left matrix fraction description of FRF was proposed.

    针对该问题,提出一种基于频响函数左矩阵分式模型的模态参数识别方法。

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  • In this paper, a so-called virtual displacement field method for graphite material constitutive parameters identification is presented.

    本文利用虚位移场方法测量石墨材料的力学参数。

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  • The identification results have indicated that the proposed method is an effective tool for modal parameters identification of time-variant linear system.

    实验结果和理论计算结果比较表明:该方法为参数时变线性系统的模态参数辨识提供一条新途径。

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  • Competence coefficients of each influential factor are solved through parameters identification of related multi-factor variable grey differential equation.

    通过对相应的多因子变量灰微分方程进行参数辨识,求得各影响因素的权系数。

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  • The means of auto tuning PID with the system parameters identification on line is obtained, and a kind of controlling method of auto tuning PID is designed.

    在此基础上,利用系统辩识获得的系统传递函数的系统,设计了一种自整定pid控制方法。

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  • 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。

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  • Aimed at chaotic systems with unknown parameters, an adaptive chaotic synchronization method based on parameters identification and Riccati inequality was proposed.

    针对参数未知的混沌系统,提出了一种基于参数估计和黎卡提不等式的自适应混沌同步方法。

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  • This study presents a modal parameters identification approach which can identify the cable tension and bending stiffness simultaneously only from the cable frequencies.

    提出了由拉索实测振动频率同时识别出拉索索力和抗弯刚度的模态参数识别法。

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  • A nonlinear system parameters identification problem is investigated in this paper by introducing a relaxation method used for solving the linear equations of the system.

    研究了非线性参数系统模型的识别问题,通过引入求解线性方程组的松驰法思想,构造了一类新的迭代识别算法。

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  • The methods of parameters identification are analyzed and low-order equivalent system is identified by frequency domain maximum likelihood method and least square method.

    分析了等效系统参数辨识方法,采用最小二乘法与频域极大似然法求解先进飞机的低阶等效系统。

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  • A rigid body parameters identification method based on muhi-reference least-squares frequency domain scheme (one of the operational modal analysis techniques) is presented.

    介绍一种基于多参考点最小二乘频域法(一种工作模态法)的刚体参数识别方法。

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  • The practical engineering examples show that the computational accuracy is high and the parameters identification is convenient, so the method has considerable practical value.

    工程实例的分析结果表明,此方法计算精度高,模型识别方便,具有较高的的工程实用价值。

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  • The method is a kind of on line adaptive fuzzy reasoning which is deduced based on fuzzy clustering method. The method can be used in parameters identification of time-varying system.

    该方法是在原有模糊聚类法的基础上,推导出的在线自适应模糊推理算法,可应用在时变非线性系统参数在线辨识中。

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  • The finite element model of the semi-rigid connection between members of frame structures is established in this paper, and it is applied to the model of joint parameters identification.

    构造了半刚性结构连接单元,并应用于结构连接参数识别的模型中。

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  • In this paper, the application of model parameters identification in dynamic tests of structural model are discussed and the associated theory and data analysis methods are also presented.

    本文主要论述试验模态分析技术在建筑结构模型动态参数识别中的应用。

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  • Motivated by the idea of adaptive control, we proposed a scheme for the synchronization, synchronization-based parameters identification and stabilization of neural networks with time-varying delay.

    受到自适应控制方法的启发本文提出了一种变时滞神经网络的同步和镇定的方法,并且可以基于同步对其连结权重进行估计。

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  • The first of these parameters is the client id which is a string based identification for the client which must be unique to each MQTT client connecting to the broker.

    第一个参数是客户机id,它是基于字符串的客户机的标识,必须对每一个连接到代理的MQTT客户机唯一。

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  • Cache identification has been introduced with additional request parameters to facilitate application version caching.

    引入了具有附加请求参数的缓存标识,以便简化应用程序版本缓存。

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  • 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。

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  • Online identification algorithm is developed for railway cars system parameters to realize the scheme for condition monitoring and fault diagnosis system in real time.

    为客车行车安全监测诊断系统实时实现上述方案,推导了铁道车辆系统参数的在线辨识算法。

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  • The identification of modal parameters of a vibration system by means of random response and free response signal is discussed.

    本文讨论利用振动系统的随机响应和自由响应信号识别系统模态参数问题。

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  • The simplified identification strategy for parameters of composite load model constituted by ZIP load model in parallel with asynchronous motor is researched.

    研究了ZIP负荷模型与感应电动机相并联的综合负荷模型参数的简化辨识策略。

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  • The simplified identification strategy for parameters of composite load model constituted by ZIP load model in parallel with asynchronous motor is researched.

    研究了ZIP负荷模型与感应电动机相并联的综合负荷模型参数的简化辨识策略。

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